Lysenko Artem ＬｙｓｅｎｋｏＡｒｔｅｍ

Researcher Number	80753805
Other IDs	https://orcid.org/0000-0002-1441-0604
Affiliation (Current)	2024: 東京大学, 大学院理学系研究科(理学部), 助教 2024: 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, 客員研究員
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

Lysenko Artem Ｌｙｓｅｎｋｏ Ａｒｔｅｍ

Research Projects

Research Products

From data to discovery in cancer immunology: AI-driven spatial transcriptomics.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A Deep Learning framework for cancer precision medicinePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

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

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Book] "Genotyping and Statistical Analysis" in Genome-Wide Association Studies (book chapter)2018

Author(s)

Total Pages

Publisher

ISBN

Data Source

[Journal Article] Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Assessment of network module identification across complex diseases2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] PHI-Nets: A Network Resource for Ascomycete Fungal Pathogens to Annotate and Identify Putative Virulence Interacting Proteins and siRNA Targets2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Navigating the disease landscape: knowledge representations for contextualizing molecular signatures2018

Author(s)

Journal Title

Data Source

[Journal Article] An integrative machine learning approach for prediction of toxicity-related drug safety2018

Author(s)

Journal Title

DOI

Data Source

[Presentation] Towards discovery of human disease mechanisms by graph-based contextual integration of ‘omics signatures (poster)2019

Author(s)

Organizer

Data Source

[Presentation] Towards computational drug screening: profiling drug toxicity in the context of a biological network (poster)2019

Author(s)

Organizer

Data Source

[Presentation] Machine learning-driven analysis of biological networks for predictive modelling of drug toxicity2018

Author(s)

Organizer

Data Source

Lysenko Artem ＬｙｓｅｎｋｏＡｒｔｅｍ