A statistical approach to virtual cellular experiments: improved causal discovery using accumulation IDA (aIDA)

URN to cite this document:: urn:nbn:de:bvb:355-epub-328146
DOI to cite this document:: 10.5283/epub.32814

Taruttis, Franziska ; Spang, Rainer ; Engelmann, Julia C.

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Date of publication of this fulltext: 17 Nov 2015 10:43

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Abstract

Motivation: We address the following question: Does inhibition of the expression of a gene X in a cellular assay affect the expression of another gene Y? Rather than inhibiting gene X experimentally, we aim at answering this question computationally using as the only input observational gene expression data. Recently, a new statistical algorithm called Intervention calculus when the Directed ...