MINDY2 / CINDY
MINDY2/CINDY is an algorithm for the genome-wide discovery of modulators of transcriptional interactions. It offers a new information theoretic method to identify multivariate statistical dependencies between a transcription factor and one or more of its targets, conditional on the presence (or absence) of a candidate modulator gene.
MINDY2 for C++
C++ executable and source
MINDY2 for MATLAB
MINDY pipeline including data pre-processing, grid submission and significance testing implemented in MATLAB (uses a MINDY 32 bit Linux native executable compiled using source provided in the previous link)
Implementation of MINDY using Conditional Mutual Information
Sample dataset for use with MINDY