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INTERNSHIP Internship Fall/Sum/Spring 2023-24 (4 students) **Undergraduate and High School Class & Lab

2023

This is the class content for INTERNSHIP. Github link: https://github.com/spawar2/INTERNSHIP 

https://github.com/spawar2/INTERNSHIP

This project in collaboration with Yash Singh, Sai and Mohit, Georgia Tech. Biomarker discovery in prostrate, lung and breast cancers (Spring 2024).

https://github.com/yashsingh43

https://github.com/AbhayR43

https://github.com/Msai32005

https://github.com/rrchada

https://github.com/arnavmadderla

Doing Homework

Fall, Spring Semester 2023-24: Undergraduate students **Yash Singh, *Abhay Raheja, *Mohit Sai, **Riya Chadha, **Arnav Madderla – Georgia Institute of Technology, Forsyth Central High School, Paul Duke STEM High School. 2024 Southeast Regional Clinical & Translational Science Conference, Atlanta, Identifying Diagnostic & Prognostic Biomarker Signatures in Lung Cancer, Yash Singh, Abhay Raheja, Mohit Sai, Karuna Mittal, & Shrikant Pawar. Github Poster

https://georgiactsa.org/_includes/documents/sections/research/cmdts/2024-abstract-book-final-pw.pdf

https://georgiactsa.org/research/cmdts/statewide-conference/2024.html

https://github.com/spawar2/INTERNSHIP

https://campuspress.yale.edu/shrikantpawar/files/2024/03/Poster-b7b266ed34d9474c.pptx

Internship 2023 (Learning Objectives):

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/PDow3EbvaBo

  • https://campuspress.yale.edu/shrikantpawar/files/2024/04/Screenshot-2024-04-11-at-8.37.25%E2%80%AFPM-0074b268184f12d7-300x210.png

  • https://campuspress.yale.edu/shrikantpawar/files/2024/04/Screenshot-2024-04-16-at-7.02.42%E2%80%AFPM-1a3b150cfde2cf5b-300x214.png

  • https://campuspress.yale.edu/shrikantpawar/files/2024/04/Raw-Intensity-Plot-a65cbec9805028bc.pdf

  • 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

  • Session 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

  • https://campuspress.yale.edu/shrikantpawar/files/2024/04/Normalized-Plot-Liver-Cancer-Sample-e2d0f1eadc1de028.pdfhttps://campuspress.yale.edu/shrikantpawar/files/2024/04/Screenshot-2024-04-25-at-6.56.26%E2%80%AFPM-6a468125d3479726-300x197.png

  • https://campuspress.yale.edu/shrikantpawar/files/2024/04/Screenshot-2024-04-25-at-6.57.03%E2%80%AFPM-2e27b3455cb79227-300x179.png

  • 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

  • https://github.com/spawar2/INTERNSHIP/blob/main/Dummy-Plot.pdf

  • https://github.com/spawar2/INTERNSHIP/blob/main/May%209.png

  • 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

  • https://github.com/spawar2/INTERNSHIP/blob/main/Breast-Cancer-Analysis.R

  • https://github.com/spawar2/INTERNSHIP/blob/main/Cluster.csv

  • https://github.com/spawar2/INTERNSHIP/blob/main/Control.csv

  • https://github.com/spawar2/INTERNSHIP/blob/main/Cytoscape-Session.cys

  • https://github.com/spawar2/INTERNSHIP/blob/main/Final.xlsx

  • https://github.com/spawar2/INTERNSHIP/blob/main/Fold_change.csv

  • https://github.com/spawar2/INTERNSHIP/blob/main/GSEAplot.pdf

  • https://github.com/spawar2/INTERNSHIP/blob/main/Heatamp.csv

  • https://github.com/spawar2/INTERNSHIP/blob/main/Heatmap.pdf

  • https://github.com/spawar2/INTERNSHIP/blob/main/May%209.png

  • https://github.com/spawar2/INTERNSHIP/blob/main/Prostate-Cancer-Analysis.R

  • https://github.com/spawar2/INTERNSHIP/blob/main/Prostate-Heatmap.pdf

  • https://github.com/spawar2/INTERNSHIP/blob/main/dotplot.pdf

  • https://github.com/spawar2/INTERNSHIP/blob/main/gseaplot.pdf

  • https://github.com/spawar2/INTERNSHIP/blob/main/string_interactions.csv.png

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