Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data

被引：0
|
作者：
Shuonan Chen
Jessica C. Mar
机构：
[1] Albert Einstein College of Medicine,Department of Systems and Computational Biology
[2] Albert Einstein College of Medicine,Department of Epidemiology and Population Health
[3] Australian Institute for Bioengineering and Nanotechnology,undefined
[4] University of Queensland,undefined
来源：
BMC Bioinformatics | / 19卷
关键词：
Gene regulatory network; Single cell genomics; Bayesian network; Correlation network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data
    Chen, Shuonan
    Mar, Jessica C.
    BMC BIOINFORMATICS, 2018, 19
  • [2] Integrated Pipelines for Inferring Gene Regulatory Networks from Single-Cell Data
    Chen, Aimin
    Zhou, Tianshou
    Tian, Tianhai
    CURRENT BIOINFORMATICS, 2022, 17 (07) : 559 - 564
  • [3] Inferring gene regulatory networks from single-cell data: a mechanistic approach
    Herbach, Ulysse
    Bonnaffoux, Arnaud
    Espinasse, Thibault
    Gandrillon, Olivier
    BMC SYSTEMS BIOLOGY, 2017, 11
  • [4] MANGO: Inferring gene regulatory networks from single cell multiomics
    Williams, Mark Elliott
    Scharer, Christopher D.
    JOURNAL OF IMMUNOLOGY, 2023, 210 (01):
  • [5] Inferring gene regulatory networks from single-cell gene expression data via deep multi-view contrastive learning
    Lin, Zerun
    Le Ou-Yang
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (01)
  • [6] Inferring Nonlinear Gene Regulatory Networks from Gene Expression Data Based on Distance Correlation
    Guo, Xiaobo
    Zhang, Ye
    Hu, Wenhao
    Tan, Haizhu
    Wang, Xueqin
    PLOS ONE, 2014, 9 (02):
  • [7] A neuro-genetic approach for inferring gene regulatory networks from gene expression data
    Mao, Guo
    Pang, Zhengbin
    Liu, Jie
    Zuo, Ke
    2022 9TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS RESEARCH AND APPLICATIONS, ICBRA 2022, 2022, : 1 - 5
  • [8] Synthesising Executable Gene Regulatory Networks from Single-Cell Gene Expression Data
    Fisher, Jasmin
    Koeksal, Ali Sinan
    Piterman, Nir
    Woodhouse, Steven
    COMPUTER AIDED VERIFICATION, PT I, 2015, 9206 : 544 - 560
  • [9] Inferring gene regulatory networks by machine learning methods
    Supper, Jochen
    Frohlich, Holger
    Spieth, Christian
    Drager, Andreas
    Zell, Andreas
    PROCEEDINGS OF THE 5TH ASIA- PACIFIC BIOINFOMATICS CONFERENCE 2007, 2007, 5 : 247 - +
  • [10] Inferring Gene Regulatory Networks From Single-Cell Transcriptomic Data Using Bidirectional RNN
    Gan, Yanglan
    Hu, Xin
    Zou, Guobing
    Yan, Cairong
    Xu, Guangwei
    FRONTIERS IN ONCOLOGY, 2022, 12
12345