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Update README.md
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ishworthapa authored Aug 26, 2019
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Expand Up @@ -13,26 +13,25 @@ Following series of steps show how to run the DDR method on RNASeq data.
### Step0 Preprocess
Step0 should be used to format the count table such that the input table has the gene expression table with first n columns as group1 samples (Triple negative:TN) and remaining columns as samples from group2 (other:OT). Rows represent the ENSG ids.
```
cd src
Rscript step0_preprocess.R
Rscript src/step0_preprocess.R
```
### Step1 Calculate Stats
In this step, the count table is normalized and the covariance, standard deviation, mean and MFC are being calculated.
```
Rscript step1_calculateStats.R RNASeq
Rscript src/step1_calculateStats.R RNASeq
```
### Step2 Find Reference set
In this step, reference set of genes are being determined. The output file 'ref_cpm.csv' stores expression level of these reference genes.
```
Rscript step2_findRef.R RNASeq
Rscript src/step2_findRef.R RNASeq
```
### Step3 Find overlap using Fisher's Exact test
#### Enter number of samples in first group as first input argument.
Since the example dataset has 115 samples in group1.
```
Rscript step3_overlapFisher.R 115 RNASeq
Rscript src/step3_overlapFisher.R 115 RNASeq
```

## Output files
Expand All @@ -44,10 +43,10 @@ Rscript step3_overlapFisher.R 115 RNASeq
## Pipeline for microarray data.
### Note that the steps are similar to that for RNASeq data.
```
Rscript step0_preprocess_microarray.R
Rscript step1_calculateStats.R microarray
Rscript step2_findRef.R microarray
Rscript step3_overlapFisher.R 115 microarray
Rscript src/step0_preprocess_microarray.R
Rscript src/step1_calculateStats.R microarray
Rscript src/step2_findRef.R microarray
Rscript src/step3_overlapFisher.R 115 microarray
```

## Running all the steps together
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