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Coherent Functional Modules Improve Transcription Factor Target Identification, Cooperativity Prediction, and Disease Association

Figure 1

Independent Component Analysis (ICA) can be used to identify transcriptional modules from gene expression data.

(A): The classical example of ICA is the “cocktail party problem,” where a number of microphones are placed in a room, capturing a mixture of conversations. Source separation methods such as ICA attempt to deconvolve the recorded mixed signals into their separate source signals (individual conversations). (B): An analogous application involves identifying source signals of transcriptional regulators from complex gene expression measurements.

Figure 1