CMI2NI (CMI2-based network inference) is a software for inferring gene regulatory networks from gene expression data. It is a novel method using a new proposed concept of Conditional Mutual Inclusive Information (CMI2) which can accurately measure direct dependences between genes. Given the small size samples of gene expression data, CMI2NI can not only infer the correct topology of the regulation networks but also accurately quantify the dependence or regulation strength between genes.
ZhaoGroup at the Tongji University
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Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks.
Zhang X, Zhao J, Hao JK, Zhao XM, Chen L.
Nucleic Acids Res. 2014 Dec 24. pii: gku1315.