DualNetM: an adaptive dual network framework for inferring functional-oriented markers.

Journal: BMC biology
Published Date: Aug 12, 2025

Abstract

BACKGROUND: Understanding how genes regulate each other in cells is crucial for determining cell identity and development, and single-cell sequencing technologies facilitate such research through gene regulatory networks (GRNs). However, identifying important marker genes within these complex networks remains difficult.

Authors

  • Bingjie Dai
    State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institutes of Biomedical Sciences, College of Life Sciences, Inner Mongolia University, Hohhot, 010020, China.
  • Hanshuang Li
    The State key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China.
  • Peizhuo Wang
    Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, 100084, China.
  • Pengwei Hu
    The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China.
  • Jixiang Xing
    The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot, 010020, China.
  • Yanan Hu
    State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institutes of Biomedical Sciences, College of Life Sciences, Inner Mongolia University, Hohhot, 010020, China.
  • Qilemuge Xi
    The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China.
  • Yongchun Zuo
    The State key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China.

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