PROMO: an interactive tool for analyzing clinically-labeled multi-omic cancer datasets

被引:0
|
作者
Dvir Netanely
Neta Stern
Itay Laufer
Ron Shamir
机构
[1] Tel Aviv University,Blavatnik School of Computer Science
来源
关键词
Cancer genomics; Personalized medicine; Cancer subtypes; Multi-omics; Cancer biomarkers; Multi-omic clustering; Gene expression analysis;
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
  • [41] Multi-omic machine learning predictor of chemotherapy response of esophageal cancer
    Sasagawa, Shota
    Kato, Hiroaki
    Nagaoka, Koji
    Todd, Johnson
    Maejima, Kazuhiro
    Okawa, Yuki
    Kakimi, Kazuhiro
    Yasuda, Takushi
    Nakagawa, Hidewaki
    CANCER SCIENCE, 2023, 114 : 1469 - 1469
  • [42] Multi-omic machine learning predictor of breast cancer therapy response
    Stephen-John Sammut
    Mireia Crispin-Ortuzar
    Suet-Feung Chin
    Elena Provenzano
    Helen A. Bardwell
    Wenxin Ma
    Wei Cope
    Ali Dariush
    Sarah-Jane Dawson
    Jean E. Abraham
    Janet Dunn
    Louise Hiller
    Jeremy Thomas
    David A. Cameron
    John M. S. Bartlett
    Larry Hayward
    Paul D. Pharoah
    Florian Markowetz
    Oscar M. Rueda
    Helena M. Earl
    Carlos Caldas
    Nature, 2022, 601 : 623 - 629
  • [43] Multi-omic analysis of dysregulated pathways in triple negative breast cancer
    Sajjad, Fatima
    Jalal, Ahmer
    Jalal, Amir
    Gul, Zulekha
    Mubeen, Hira
    Rizvi, Seemal Zahra
    Un-Nisa, Ex Alim
    Asghar, Andleeb
    Butool, Farah
    ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2024, 20 (04) : 450 - 462
  • [44] MLDA: A tool for analyzing multi-label datasets
    Moyano, Jose M.
    Gibaja, Eva L.
    Ventura, Sebastian
    KNOWLEDGE-BASED SYSTEMS, 2017, 121 : 1 - 3
  • [45] Multi-omic diagnostics of prostate cancer in the presence of benign prostatic hyperplasia
    Spick, Matt
    Muazzam, Ammara
    Pandha, Hardev
    Michael, Agnieszka
    Gethings, Lee A.
    Hughes, Christopher J.
    Munjoma, Nyasha
    Plumb, Robert S.
    Wilson, Ian D.
    Whetton, Anthony D.
    Townsend, Paul A.
    Geifman, Nophar
    HELIYON, 2023, 9 (12)
  • [46] What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health
    Passero, Kristin
    Setia-Verma, Shefali
    McAllister, Kimberly
    Manrai, Arjun
    Patel, Chirag
    Hall, Molly
    PACIFIC SYMPOSIUM ON BICOMPUTING 2021, 2021, : 309 - 315
  • [47] Unifying the Integration, Analysis and Interpretation of multi-omic datasets: Exploration of the disease networks of Obstructive Nephropathy in children
    Moulos, Panagiotis
    Valavanis, Ioannis
    Klein, Julie
    Maglogiannis, Ilias
    Schanstra, Joost
    Chatziioannou, Aristotelis
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 3716 - 3719
  • [48] EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets
    Cantrell, Kalen
    Fedarko, Marcus W.
    Rahman, Gibraan
    McDonald, Daniel
    Yang, Yimeng
    Zaw, Thant
    Gonzalez, Antonio
    Janssen, Stefan
    Estaki, Mehrbod
    Haiminen, Niina
    Beck, Kristen L.
    Zhu, Qiyun
    Sayyari, Erfan
    Morton, James T.
    Armstrong, George
    Tripathi, Anupriya
    Gauglitz, Julia M.
    Marotz, Clarisse
    Matteson, Nathaniel L.
    Martino, Cameron
    Sanders, Jon G.
    Carrieri, Anna Paola
    Song, Se Jin
    Swafford, Austin D.
    Dorrestein, Pieter C.
    Andersen, Kristian G.
    Parida, Laxmi
    Kim, Ho-Cheol
    Vazquez-Baeza, Yoshiki
    Knight, Rob
    MSYSTEMS, 2021, 6 (02)
  • [49] Multi-omic profiling of simultaneous ductal carcinoma in situ and invasive breast cancer
    Kaplan, Henry G.
    Berry, Anna B.
    Dowdell, Alexa
    Piening, Brian
    CANCER RESEARCH, 2022, 82 (04)
  • [50] High-throughput Approach for Multi-omic Testing for Prostate Cancer Research
    Shannon, M.
    Le, F.
    Shi, A.
    de Castro, D.
    Elder, N.
    Fantin, N.
    Tracy, L.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2018, 20 (06): : 899 - 900