(f-divergence Cutoff Index), is to find DEGs in the transcriptomic & proteomic data, and identify DEGs by computing the difference between the distribution of fold-changes for the control-control and remaining (non-differential) case-control gene expression ratio data. fCI provides several advantages compared to existing methods.
|Maintainer||Shaojun Tang <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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