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DDR

Requirements:

  • R (packages: edgeR)
  • Python (packages: pandas)

Running step wise

Step0 Preprocess

Rscript step0_preprocess.R

Step1 Calculate Stats

Enter RNASeq or microarray as input argument.

Rscript step1_calculateStats.R RNASeq
Rscript step1_calculateStats.R microarray 

Step2 Find Reference set

Enter RNASeq or microarray as input argument.

Rscript step2_findRef.R RNASeq
Rscript step2_findRef.R microarray

Step3 Find overlap using Fisher's Exact test

Enter number of samples in first group as first input argument.

Enter RNASeq or microarray as second input argument.

Since the example dataset has 115 samples in group1.

Rscript step3_overlapFisher.R 115 RNASeq
Rscript step3_overlapFisher.R 115 microarray

Running all the steps together

Rscript DDR_Ref.R

If you have another python version that has pandas:

Rscript DDR_Ref.R PYTHON_PATH

Output files

  • final_out.csv: Normalized count data
  • ref_cpm.csv: Expression of reference genes
  • overlap_test_fdr_1_RNASeq.csv".csv: Differentially expressed genes with fdr < 0.1
  • overlap_test_fdr_05_RNASeq.csv: Differentially expressed genes with fdr < 0.05

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  • Python 72.8%
  • R 27.2%