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

Authors
Aditya Jadhav , Tarun Kumar , Mohit Raghavendra , Tamizhini Loganathan , Manikandan Narayanan
Published In
Bioinformatics, vol. 38, no. 20, p. 4771-4781

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.