Predicting cross-tissue hormone–gene relations using balanced word embeddings

Published in "Bioinformatics"
Aditya Jadhav , Tarun Kumar , Mohit Raghavendra , Tamizhini Loganathan , Manikandan Narayanan

Inter-organ/inter-tissue communication is central to multi-cellular organisms including humans, and mapping inter-tissue interactions can advance system-level whole-body modeling efforts. Large volumes of biomedical literature have fostered studies that map within-tissue or tissue-agnostic interactions, but literature-mining studies that infer inter-tissue relations, such as between hormones and genes are solely missing.