An Algorithm to Mine Therapeutic Motifs for Cancer From Networks of Genetic Interactions-Reference-Cited by-同舟云学术

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An Algorithm to Mine Therapeutic Motifs for Cancer From Networks of Genetic Interactions

Published:2022-06 Issue:6 Volume:26 Page:2830-2838
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Liany Herty¹^ORCID,Lin Yu²^ORCID,Jeyasekharan Anand³^ORCID,Rajan Vaibhav⁴^ORCID

Affiliation:

1. National Cancer Centre Singapore, Singapore

2. School of Computing, Australian National University, Canberra, Australia

3. Cancer Science Institute of Singapore, National University of Singapore, Singapore

4. Department of Information Systems and Analytics, School of Computing, National University of Singapore, Singapore

Funder

Singapore MoE Academic Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9788469/09672736.pdf?arnumber=9672736

Reference61 articles.

1. ASTER: A Method to Predict Clinically Actionable Synthetic Lethal Genetic Interactions

2. Visualizing and interpreting cancer genomics data via the Xena platform

3. The Cancer Genome Atlas Pan-Cancer analysis project

4. Genecentric: a package to uncover graph-theoretic structure in high-throughput epistasis data

5. Characterizing gene sets with funcassociate;gabriel;Bioinformatics,2003

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