BactInt: A domain driven transfer learning approach for extracting inter-bacterial associations from biomedical text.
Journal:
Computational biology and chemistry
Published Date:
Jan 4, 2024
Abstract
BACKGROUND: The healthy as well as dysbiotic state of an ecosystem like human body is known to be influenced not only by the presence of the bacterial groups in it, but also with respect to the associations within themselves. Evidence reported in biomedical text serves as a reliable source for identifying and ascertaining such inter bacterial associations. However, the complexity of the reported text as well as the ever-increasing volume of information necessitates development of methods for automated and accurate extraction of such knowledge.