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Omic Data

The machine learning portion of the pipeline requires measurements that is used to prioritize ambiguous pairs. The input to the pipeline is a path to a folder containing data matrices. Traditionally, RNAseq and proteome data is provided.

Data Format

The file should be a tab-separated file, with the first column being the protein/gene in Gene Symbol. The following columns are measurements in each sample. The value used for each gene is the mean measurement across all the included samples.

Accepted values for missing values are: NA and blank.

Example

idx 11BR047 11BR043
TSPAN6  23.5362298956281    21.6672110897463
TNMD    NA  NA
DPM1    26.0377091834862    25.6517806500539
SCYL3   23.5747379833942    23.9216878914892
FIRRM   18.22840670697  18.9470251111963