PT  - JOURNAL ARTICLE
AU  - Md. Bahadur Badsha
AU  - Audrey Qiuyan Fu
TI  - Learning causal biological networks with generalized Mendelian randomization
AID  - 10.1101/171348
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 171348
4099  - http://biorxiv.org/content/early/2017/08/01/171348.short
4100  - http://biorxiv.org/content/early/2017/08/01/171348.full
AB  - Learning causality from biological data remains a challenge. We present MRPC, a novel machine learning algorithm that employs generalized Mendelian randomization and learns a causal biological network with directed edges. Our method has several desirable statistical features: it controls the false discovery rate, and performs robust inference. Using MRPC, we distinguished direct and indirect targets among multiple genes associated with eQTLs, and constructed a network for frequently altered cancer genes.