Using multi-omic network analysis to identify cancer-relevant signaling pathways and novel biomarkers

被引：0
|
作者：
Clark, Natalie M. [1 ]
Giillette, Michael A. [1 ]
Satpathy, Shankha [1 ]
Carr, Steven A. [1 ]
Mani, D. R. [1 ]
机构：
[1] Broad Inst & Harvard, Cambridge, MA USA
来源：
MOLECULAR & CELLULAR PROTEOMICS | 2022年 / 21卷 / 08期
关键词：
D O I：
10.1016/j.mcpro.2022.100328
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
A.7
引用
收藏
页码：S38 / S38
页数：1
相关论文
共 50 条
  • [21] Multi-Omic Approaches Identify Metabolic and Autophagy Regulators Important in Ovarian Cancer Dissemination
    Wheeler, Lindsay J.
    Watson, Zachary L.
    Qamar, Lubna
    Yamamoto, Tomomi M.
    Sawyer, Brandon T.
    Sullivan, Kelly D.
    Khanal, Santosh
    Joshi, Molishree
    Ferchaud-Roucher, Veronique
    Smith, Harry
    Vanderlinden, Lauren A.
    Brubaker, Sky W.
    Caino, Cecilia M.
    Kim, Hyunmin
    Espinosa, Joaquin M.
    Richer, Jennifer K.
    Bitler, Benjamin G.
    ISCIENCE, 2019, 19 : 474 - +
  • [22] Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering
    Ma, Tianle
    Zhang, Aidong
    2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 398 - 403
  • [23] 'Multi-omic' data analysis using O-miner
    Sangaralingam, Ajanthah
    Ullah, Abu Z. Dayem
    Marzec, Jacek
    Gadaleta, Emanuela
    Nagano, Ai
    Ross-Adams, Helen
    Wang, Jun
    Lemoine, Nicholas R.
    Chelala, Claude
    BRIEFINGS IN BIOINFORMATICS, 2019, 20 (01) : 130 - 143
  • [24] Discovering novel targetable pathways by combining functional and multi-omic data from primary ovarian cancer samples
    Gutierrez-Perez, Irene
    Erguner, Bekir
    Buphamalai, Pisanu
    Van Ham, Joost
    Heinz, Paul
    Aranha, Valentin
    Okumura, Rin
    Waltenberger, Elisabeth
    Alt, Isabella
    Baumgaertler, Claudia
    Stulic, Maja
    Petru, Edgar
    Minichsdorfer, Christoph
    Lafleur, Judith
    Hefler, Lukas
    Hadjari, Laudia
    Dzurillova, Lucia
    Sufliarsky, Jozef
    Krall, Nikolaus
    Fureder, Thorsten
    Vladimer, Gregory Ian
    Vilagos, Bojan
    Sehlke, Robert
    CANCER RESEARCH, 2023, 83 (07)
  • [25] Deciphering triple negative breast cancer driven pathways via multi-omic networks
    Karagoz, K.
    Sinha, R.
    Arga, K. Y.
    FEBS JOURNAL, 2014, 281 : 452 - 452
  • [26] Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis
    Ma, Tianle
    Zhang, Aidong
    PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018, : 702 - 707
  • [27] Prediction of Electronic Nicotine Delivery Systems Use in COPDGene Using Multi-Omic Biomarkers
    Gregory, A.
    Xu, Z.
    Pratte, K.
    Berman, S.
    Lichtblau, N.
    Lu, R.
    Chase, R.
    Yun, J.
    Saferali, A.
    Silverman, E.
    Hersh, C.
    Bowler, R.
    Boueiz, A.
    Castaldi, P.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2022, 205
  • [28] Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
    Gonzalez-Reymundez, Agustin
    Vazquez, Ana I.
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [29] Multi-omic signatures identify pan-cancer classes of tumors beyond tissue of origin
    Agustín González-Reymúndez
    Ana I. Vázquez
    Scientific Reports, 10
  • [30] Systemic Lupus Erythematosus Biomarkers Identified Using Multi-Omic and Artificial Intelligence Analysis through Interrogative Biology
    Grund, Eric
    Zhang, Lixia
    Rodrigues, Leonardo
    Akmaev, Viatcheslav
    Sarangarajan, Rangaprasad
    Kiebish, Michael
    Narain, Niven
    Gilkeson, Gary S.
    ARTHRITIS & RHEUMATOLOGY, 2018, 70
12345