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

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: 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.

Authors

  • Aditya Jadhav
    Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India.
  • Tarun Kumar
    Hewlett Packard Enterprise Labs, Houston, TX, United States.
  • Mohit Raghavendra
    Department of Information Technology, National Institute of Technology Karnataka, Surathkal, India.
  • Tamizhini Loganathan
    Initiative for Biological Systems Engineering, IIT Madras, Chennai, India.
  • Manikandan Narayanan
    Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, Chennai, India.