Sign in
ImmunologybioRxiv
Preprint

Extracting T Cell Function and Differentiation Characteristics from the Biomedical Literature

E. A. Czech, J. Hammerbacher

Abstract

The role of many cytokines and transcription factors in the function and development of human T cells has been the subject of extensive research, however much of this work only demonstrates experimental findings for a relatively small portion of the molecular signaling network that enables the plasticity inherent to these cells. We apply recent advancements in methods for weak supervision and transfer learning for natural language models to aid in extracting these individual findings as 283k cell type, cytokine, and transcription factor relations from 64k relevant documents (53k full-text PMC articles and 11k PubMed abstracts). All data, results and source code available at https://github.com/hammerlab/t-cell-relation-extraction.

PDFDOICode

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISYoshikawa '25Mutha '25Nabijiang '26Oesinghaus '26Nguyen '20Pro '18
53% semantic matchBioinformatics
Mei Yoshikawa, Tadahaya Miuzuno, Yohei Ohto+2 more·bioRxiv·Dec 29, 2025