Youtube Teaching Channel

Youtube Teaching Channel: https://www.youtube.com/playlist?list=PLKka-JHtsz80sJ_uQ8wZ4cnLNB9yRJNoV

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Bioinformatics Learning Objectives (Bioinformatics BIOL441 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-biol341-2): 

https://youtu.be/G6Xh9QJQrjA

https://youtu.be/UlU8GlZP7GU

https://youtu.be/YVMVhcDCMY8

https://youtu.be/OTGJ4355zCQ

https://youtu.be/EYZgSvCS858

https://youtu.be/kGaQ2mG4-9g

https://youtu.be/kIxlNUeG-38

https://youtu.be/bmWCnSMhUDk

https://youtu.be/7UOA1hC2V5k

Phylogenetic Analysis: https://youtu.be/IMIP4la-K84

https://youtu.be/UEsXMfE_7Rg

Blast, Sequence alignments (Margaret Dayhoff, PAM, Blossom scoring matrices, global & local alignment): https://youtu.be/Lx1jkr3UKwA

Github: https://github.com/spawar2/BTEC-620-Spring-2023

 

Digital Logic Learning Objectives (Digital Logic CSCI225 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-csci-hnth-392): https://youtu.be/1OHKkJdxsBA

Github: https://github.com/spawar2/CSC225-Summer-2022

 

Data analysis Learning Objectives (Data analysis STAT401 (3 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-stat341): https://youtu.be/WIvehDeVRak

https://youtu.be/dhIjTt26YKQ

T Test: https://youtu.be/sIpMsN90Dt8

Anova: https://youtu.be/Z-S4CfsRHA0

Correlation: https://youtu.be/yndToTyudUQ

Chi Square: https://youtu.be/dgehxC9tJVc

Descriptive Statistics: https://youtu.be/09SCdQPVShU

Github: https://github.com/spawar2/STAT302

 

Object Oriented Programming Learning Objectives (Object Oriented Programming CSCI207 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-inbre-epscor-ret): https://youtu.be/GPLjXvVgssc

Git Version Control: https://youtu.be/IM56cFOyCZM

Github: https://github.com/spawar2/Object-Oriented-Programming-Laboratory

 

Data Science Learning Objectives (Data Science CSCI455 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-math111):

Machine Leaning: https://youtu.be/Pju8ecWWRAw

Tree Based Models: https://youtu.be/FOtl6qM_nX0

Regression: https://youtu.be/LrSDfwwnbKY

Intro: https://www.youtube.com/watch?v=ZwILpqjYoLU&ab_channel=ShrikantPawar

Intro2: https://www.youtube.com/watch?v=HLduzJRUzJQ&ab_channel=ShrikantPawar

Github: https://github.com/spawar2/Data-Science-Fall2022

Introduction to Python: Syntax, Variables, Data types, Operators, Conditional testing, Bioinformatics Implementation: 1. https://www.youtube.com/watch?v=WyUS9YI8Xvg&ab_channel=ShrikantPawar

2. https://www.youtube.com/watch?v=t0jIx5Ch4Io&ab_channel=ShrikantPawar

3. https://www.youtube.com/watch?v=H5EFUc_u0MQ&ab_channel=ShrikantPawar

4. https://github.com/spawar2/2023-summer-school-/blob/main/Python-Basics.py

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CSCI101 Introduction to computer technology (computer hardware (processors, LMC, storage, I/O devices, software life cycle), software components and applications, Exploratory Data Analysis (visualization plots), programming constructs, secure computing (threats, malware, phishing, vulnerability), Exploratory Data Analysis (visualization plots), statistical tests (T-test, correlation, ANOVA, chi-square) functions, ethics in computing: https://youtu.be/bPBV_UUrAqA

https://youtu.be/c9bH44vigyo https://youtu.be/0aHzDI2cV_c https://youtu.be/QFz7uhRMyT https://youtu.be/ilcye1yT-Lw https://youtu.be/9PAGIi1ECMw https://youtu.be/qoXgnffI_QY https://youtu.be/jUhrikiZ9vc https://youtu.be/c8EH47_taL8 https://youtu.be/d8NKb8Io0f0

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Research:

Bioinformatics BIOL441 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-biol341-2 Digital Logic CSCI225 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-csci-hnth-392 Data analysis STAT401 (3 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-stat341 Object Oriented Programming CSCI207 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-inbre-epscor-ret Data Science CSCI455 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-math111 Summer school: https://pawar1550.wixsite.com/claflin-courses/copy-of-biomedical-biomaterials-inter:

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K Fold Semi Supervised: https://www.youtube.com/watch?v=Y6skvhHVR2w&ab_channel=ShrikantPawar

Paper: https://link.springer.com/chapter/10.1007/978-981-19-9819-5_49

Cyclical Learning Rates: https://www.youtube.com/watch?v=988lbQ4ekao&ab_channel=ShrikantPawar

Paper: https://www.researchsquare.com/article/rs-1129014/v1

Introduction: https://youtu.be/D-LcCATYmgs

Single Shot Detection: https://www.youtube.com/watch?v=7XQQhTZhXZM&ab_channel=ShrikantPawar

Paper: https://www.biorxiv.org/content/10.1101/2021.09.21.461307v1

Stroke risk stratification using neural networks: https://www.youtube.com/watch?v=PtjHqf4xlbI&ab_channel=ShrikantPawar

BaseLine: https://www.youtube.com/watch?v=fExtAxWZaCI&ab_channel=ShrikantPawar

BTEC591 Research Presentation-Pawar: https://youtu.be/yJzgDZLxmI0

Systematic Review and Meta-Analysis, 2024, Pawar Shrikant, Westchester Academy of Medicine, Valhalla, NY. PPT, Video

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Internship Learning Objectives (2023):

• Session 1 (R, data banks, GitHub Intro): https://youtu.be/3ReIQmFWxas

• Github: https://github.com/spawar2/INTERNSHIP

• Session 2 (Databank Querying): https://youtu.be/tRb-_1aA57U

• Session 3 (External R packages/libraries): https://youtu.be/TJpo9apXo8k

• Session 4 (Microarray data read and visualization in R): https://youtu.be/OhXCJ_eU99Q

• Session 5 (Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Github uploads): https://youtu.be/DKNva3GCWQ0

• Session 6 (Fold Change Analysis): https://youtu.be/QF_X2PqDO1k

• Session 7 (Project preparation): https://youtu.be/3f5wU8niK5c

• Session 8 (Project preparation): https://youtu.be/9whLbYgicsw

• Session 9 (Project preparation): https://youtu.be/viKm2czflmY

• Session 10 (Project preparation): https://youtu.be/NaZl5zwMroc

• Session 11 (Project preparation): https://youtu.be/fBWLUOIJnow

• Session 12 (Project preparation): https://youtu.be/svZcYXwA8cU

• Session13 (Project preparation): https://youtu.be/yqmtLN5yqhw

• Session 14 (Project preparation): https://youtu.be/BF_8YEhcZMI

• Session 15 (Project preparation): https://youtu.be/5aLXmYRrf5E

• Session 16 (Project preparation): https://youtu.be/acHnwp4fqZs

• Session 17 (Project preparation): https://youtu.be/eayldhE1jRw

• Session 18 (Project preparation): https://youtu.be/AdiMhOXXSHw

• Session 19 (Project preparation): https://youtu.be/FKp9a0YSUyw

• Session 20 (Project preparation): https://youtu.be/pqSZEnwYLrw

• Session 21 (Project preparation): https://youtu.be/vyLSq2q6oi8

• Session 22 (Project preparation): https://youtu.be/nWywx6ODc-8

• Session 23.1 (Project preparation): https://youtu.be/ahe_bGYYcec

• Session 23.2 (Project preparation): https://youtu.be/f1wj1xjFHcw

• Session 24 (Project preparation): https://youtu.be/-nF8B5KAwE4

• Session 24 (Project preparation): https://youtu.be/g7h50jorUZs

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2024: 

• Session 1.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/M4YK6UbJR10

• Session 1.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/T6wQL4h5eEs

• Session 2.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/riK08jGANk4

• Session 2.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/8H9t8y1gBBs

• Session 3.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/pBh-nsV1-_g

• Session 3.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/NybXXfLb20g

• INTERNSHIP 4 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/x6vfIOzlj9s

• Session 5 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/Y0LUUIDLKFQ

• Session 6 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/UC-wJ_CCUcs

• Session 7 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/o4KAY94XMLg

• Session 8.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/VuYKgOrRc7c

• Session 8.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/T7o6-EsdmTA

• Session 9 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/TZlxPD7s0xw

• Session 10.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/HFN-9By_VYU

• Session 10.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/MxycWaDeGfQ

• Session 11.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/4s16eW-g_0I

• Session 11.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/6MW48-4DO7k

• Session 12 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/2a1CnkK9-pI

• Session 13 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/Ln785EYIoz8

• Session 14 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/PDow3EbvaB

• Session 15.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/_PVck8bxzjE

• Session 15.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/jFvuX3eRJEo

• oSession 16 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/T7hAMi0yax0

• Session 17.1 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/5w9GooLRBi4

• Session 17.2 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/Pp9-jBHfYuA

• Session 18 (Introduction to R: Simple manipulations; numbers and vectors, Missing values, Objects, their modes and attributes, Ordered and unordered factors, Arrays and matrices, Lists and data frames, Reading data from files, Probability distributions, Grouping, loops and conditional execution, Custom functions, Statistical models, Graphical procedures: Bar plots, scatterplots, volcano plots, Venn diagrams, Pie charts, Density plots, Line plots, hypothesis testing with T-test, correlation, ANOVA, regression), Gene Expression Omnibus (GEO) datasets mining, Microarray data analysis: Read, Pre-processing/Normalization (Affy, Oligo, Limma-RMA, Quantile, Mas5.0), Visualization: Heat maps, box plots, Fold change expression analysis, Gene Set Enrichment Analysis (GSEA), Pathways and protein downstream interactome analysis: https://youtu.be/oFOSaewJ_-o