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Youtube Teaching Channel.

JUNE 19 2022.

Doing Homework

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

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Claflin University Orangeburg, South Carolina, United States of America, Bioinformatics Learning Objectives (Bioinformatics BIOL441 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-biol341-2): https://www.claflin.edu/

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

National Center for Biotechnology Information (NCBI)  Basic Local Alignment Search Tool (BLAST) technique, Sequence alignments (Margaret Dayhoff, PAM, Blossom scoring matrices, global & local alignment): https://youtu.be/Lx1jkr3UKwA

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

 

Claflin University Orangeburg, South Carolina, USA, 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

 

Claflin University Orangeburg, South Carolina, USA, 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

 

Claflin University Orangeburg, South Carolina, USA, 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

 

Claflin University Orangeburg, South Carolina, USA, 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

​

CSCI101 Introduction to computer technology Claflin University Orangeburg, South Carolina, USA, (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

Semester class review: https://youtu.be/Pju8ecWWRAw

​

Research:

Claflin University Orangeburg, South Carolina, USA, Bioinformatics BIOL441 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-biol341-2 Claflin University Orangeburg, South Carolina, USA, Digital Logic Claflin University Orangeburg, South Carolina, USA, CSCI225 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-csci-hnth-392 Data analysis Claflin University Orangeburg, South Carolina, USA, STAT401 (3 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-stat341 Claflin University, Object Oriented Programming CSCI207 (4 credits): https://pawar1550.wixsite.com/claflin-courses/copy-of-inbre-epscor-ret Data Science Claflin University Orangeburg, South Carolina, USA, 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

Springer Computational Vision and Bio-Inspired Computing Paper: https://link.springer.com/chapter/10.1007/978-981-19-9819-5_49          Presentation PPT

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

Springer Bioinformatics and Biomedical Engineering Paper: https://www.researchsquare.com/article/rs-1129014/v1

Introduction: https://youtu.be/D-LcCATYmgs (National Science Foundation South Carolina Established Program for Stem Cooperative Research (SC EPSCoR) RII Track-1 award funded project Role: Co-PI/co-PI (Principal Investigator), (direct, 100%)).

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

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

Stroke risk stratification using neural networks: https://www.youtube.com/watch?v=PtjHqf4xlbI&ab_channel=ShrikantPawar (Claflin University seed funded project) Role: PI, (direct, 100%) Presentation PPT

Springer Intelligent Sustainable Systems https://link.springer.com/chapter/10.1007/978-981-99-8031-4_3#chapter-info

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

Claflin University Orangeburg, South Carolina, USA, BTEC591 Research Presentation-Pawar: https://youtu.be/yJzgDZLxmI0

Systematic Review and Meta-Analysis, 2024, Pawar Shrikant, Graduate Medical Education (GME) Grand Round, Westchester Academy of Medicine, Valhalla, NY. PPT, Video

OpenAI's GPT-3/ChatGPT: Suggests & Corrects: https://youtu.be/GhuF9INWxTY

PPT Presentation

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Internship Learning Objectives (2023):

​

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

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