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Lysenko Artem  Lysenko Artem

Researcher Number 80753805
Other IDs
  • ORCIDhttps://orcid.org/0000-0002-1441-0604
Affiliation (Current) 2025: 東京大学, 大学院理学系研究科(理学部), 准教授
Affiliation (based on the past Project Information) *help 2024: 東京大学, 大学院理学系研究科(理学部), 助教
2019: 国立研究開発法人理化学研究所, 生命医科学研究センター, 研究員
2018: 国立研究開発法人理化学研究所, 生命医科学研究センター, 特別研究員
Review Section/Research Field
Principal Investigator
Basic Section 62010:Life, health and medical informatics-related
Keywords
Principal Investigator
deep learning / spatial transcriptomics / cancer immunology / Artificial Intelligence / Subtype Discovery / multiomics / meta-learning / cancer / Multiomics / Cancer / Precision Medicine / Deep Learning
  • Research Projects

    (2 results)
  • Research Products

    (12 results)
  •  From data to discovery in cancer immunology: AI-driven spatial transcriptomics.Principal Investigator

    • Principal Investigator
      Lysenko Artem
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      The University of Tokyo
  •  A Deep Learning framework for cancer precision medicinePrincipal Investigator

    • Principal Investigator
      Lysenko Artem
    • Project Period (FY)
      2018 – 2019
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Institute of Physical and Chemical Research

All 2020 2019 2018

All Journal Article Presentation Book

  • [Book] Genotyping and Statistical Analysis (in Genome-Wide Association Studies)2019

    • Author(s)
      Lysenko Artem, Boroevich, A Keith, Tsunoda Tatsuhiko
    • Total Pages
      20
    • Publisher
      Springer
    • ISBN
      9789811381775
    • Data Source
      KAKENHI-PROJECT-18K18156
  • [Book] "Genotyping and Statistical Analysis" in Genome-Wide Association Studies (book chapter)2018

    • Author(s)
      Lysenko, Artem, Keith A. Boroevich, Tatsuhiko Tsunoda
    • Total Pages
      16
    • Publisher
      Springer Nature
    • ISBN
      9789811381768
    • Data Source
      KAKENHI-PROJECT-18K18156
  • [Journal Article] Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease2020

    • Author(s)
      Mason Mike J.、Multiple Myeloma DREAM Consortium (including Lysenko, Artem)、et al.
    • Journal Title

      Leukemia

      Volume: - Issue: 7 Pages: 1866-1874

    • DOI

      10.1038/s41375-020-0742-z

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18156, KAKENHI-PLANNED-17H06307
  • [Journal Article] Assessment of network module identification across complex diseases2019

    • Author(s)
      Choobdar Sarvenaz、The DREAM Module Identification Challenge Consortium (including Lysenko, Artem)、et al.
    • Journal Title

      Nature Methods

      Volume: 16 Issue: 9 Pages: 843-852

    • DOI

      10.1038/s41592-019-0509-5

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18156
  • [Journal Article] HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues2019

    • Author(s)
      Sharma Alok、Lysenko Artem、L?pez Yosvany、Dehzangi Abdollah、Sharma Ronesh、Reddy Hamendra、Sattar Abdul、Tsunoda Tatsuhiko
    • Journal Title

      BMC Genomics

      Volume: 19 Issue: S9 Pages: 1-7

    • DOI

      10.1186/s12864-018-5206-8

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18156, KAKENHI-PROJECT-16H06299
  • [Journal Article] PHI-Nets: A Network Resource for Ascomycete Fungal Pathogens to Annotate and Identify Putative Virulence Interacting Proteins and siRNA Targets2019

    • Author(s)
      Janowska-Sejda Elzbieta I.、Lysenko Artem、Urban Martin、Rawlings Chris、Tsoka Sophia、Hammond-Kosack Kim E.
    • Journal Title

      Frontiers in Microbiology

      Volume: 10

    • DOI

      10.3389/fmicb.2019.02721

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18156
  • [Journal Article] Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen2019

    • Author(s)
      Menden Michael P. AstraZeneca-Sanger Drug Combination DREAM Consortium (including Lysenko, Artem)、et al.
    • Journal Title

      Nature Communications

      Volume: 10 Issue: 1

    • DOI

      10.1038/s41467-019-09799-2

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18156
  • [Journal Article] Navigating the disease landscape: knowledge representations for contextualizing molecular signatures2018

    • Author(s)
      Mansoor Saqi、 Artem Lysenko、 Yi-Ke Guo 、 Tatsuhiko Tsunoda 、Charles Auffray
    • Journal Title

      Briefings In Bioinformatics

      Volume: bby025 Pages: 1-15

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18156
  • [Journal Article] An integrative machine learning approach for prediction of toxicity-related drug safety2018

    • Author(s)
      Lysenko Artem、Sharma Alok、Boroevich Keith A、Tsunoda Tatsuhiko
    • Journal Title

      Life Science Alliance

      Volume: 1 Issue: 6 Pages: 1-14

    • DOI

      10.26508/lsa.201800098

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18156, KAKENHI-PLANNED-17H06307, KAKENHI-PROJECT-16H06299
  • [Presentation] Towards discovery of human disease mechanisms by graph-based contextual integration of ‘omics signatures (poster)2019

    • Author(s)
      Artem Lysenko, Keith A. Boroevich and Tatsuhiko Tsunoda
    • Organizer
      ISCB, OIST, Okinawa
    • Data Source
      KAKENHI-PROJECT-18K18156
  • [Presentation] Towards computational drug screening: profiling drug toxicity in the context of a biological network (poster)2019

    • Author(s)
      Artem Lysenko, Keith A. Boroevich and Tatsuhiko Tsunoda
    • Organizer
      ISMB/ECCB, Basel, Switzerland
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18156
  • [Presentation] Machine learning-driven analysis of biological networks for predictive modelling of drug toxicity2018

    • Author(s)
      Artem Lysenko
    • Organizer
      IB-2018, Harpenden, UK
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K18156

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