Editorial: Leveraging machine learning for omics-driven biomarker discovery

被引:1
|
作者
Li, Sheng [1 ]
Hsu, Charles [2 ]
Zhao, Tianyi [3 ]
He, Liangcan [3 ]
机构
[1] Wuhan Univ, Zhongnan Hosp, Wuhan, Peoples R China
[2] Qatar Univ, Coll Med, Dept Populat Med, Doha, Qatar
[3] Harbin Inst Technol, Harbin, Peoples R China
关键词
biomarker; machine learning; cancer; omics data analysis; computational resource;
D O I
10.3389/fmolb.2022.1119644
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
引用
收藏
页数:3
相关论文
共 50 条
  • [11] Omics-driven startups challenge healthcare model
    Cormac Sheridan
    Nature Biotechnology, 2015, 33 : 887 - 889
  • [12] Omics-driven crop potassium use efficiency breeding
    He, Bing
    Hu, Fengqin
    Du, Hongyang
    Cheng, Junjie
    Pang, Bingwen
    Chen, Xi
    Lv, Yuanda
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [13] Omics-driven insight into physiological responses of species in aquaculture
    Martyniuk, Christopher J.
    COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS, 2022, 43
  • [14] Editorial: Omics in endocrinology: from biomarker discovery to targeting therapeutic strategies
    Costanzo, Michele
    Aleidi, Shereen M.
    Rahman, Anas Abdel
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2025, 12
  • [15] Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
    Espinel-Rios, Sebastian
    Lopez, Jose Montan
    Avalos, Jose L.
    BIOCHEMICAL ENGINEERING JOURNAL, 2025, 216
  • [16] Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review
    Glaab, Enrico
    Rauschenberger, Armin
    Banzi, Rita
    Gerardi, Chiara
    Garcia, Paula
    Demotes, Jacques
    BMJ OPEN, 2021, 11 (12):
  • [17] Improved Algal Toxicity Test System for Robust Omics-Driven Mode-of-Action Discovery in Chlamydomonas reinhardtii
    Schade, Stefan
    Butler, Emma
    Gutsell, Steve
    Hodges, Geoff
    Colbourne, John K.
    Viant, Mark R.
    METABOLITES, 2019, 9 (05):
  • [18] Recent progress in molecular genetics and omics-driven research in seed biology
    Baud, Sebastien
    Corso, Massimiliano
    Debeaujon, Isabelle
    Dubreucq, Bertrand
    Job, Dominique
    Marion-Poll, Annie
    Miquel, Martine
    North, Helen
    Rajjou, Loic
    Lepiniec, Loic
    COMPTES RENDUS BIOLOGIES, 2022, 345 (04) : 61 - 110
  • [19] The benefits and pitfalls of machine learning for biomarker discovery
    Sandra Ng
    Sara Masarone
    David Watson
    Michael R. Barnes
    Cell and Tissue Research, 2023, 394 : 17 - 31
  • [20] The benefits and pitfalls of machine learning for biomarker discovery
    Ng, Sandra
    Masarone, Sara
    Watson, David
    Barnes, Michael R. R.
    CELL AND TISSUE RESEARCH, 2023, 394 (01) : 17 - 31