Development of computational models using omics data for the identification of effective cancer metabolic biomarkers-Reference-Cited by-同舟云学术

Development of computational models using omics data for the identification of effective cancer metabolic biomarkers

Published:2021 Issue:6 Volume:17 Page:881-893
ISSN:2515-4184
Container-title:Molecular Omics
language:en
Short-container-title:Mol. Omics

Author:

Lee Sang Mi¹^ORCID,Kim Hyun Uk¹²³^ORCID

Affiliation:

1. Systems Biology and Medicine Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea

2. KAIST Institute for Artificial Intelligence, KAIST, Daejeon 34141, Republic of Korea

3. BioProcess Engineering Research Center and BioInformatics Research Center, KAIST, Daejeon 34141, Republic of Korea

Abstract

Novel biomarkers are increasingly identified using computational models for the effective diagnosis, prognosis and treatment of cancers.

Funder

National Research Foundation of Korea

KAIST

Publisher

Royal Society of Chemistry (RSC)

Subject

Genetics,Molecular Biology,Biochemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2021/MO/D1MO00337B

Reference116 articles.

1. The cancer biomarker problem

2. Cancer Biomarkers: Are We Ready for the Prime Time?

3. Cancer biomarkers: a systems approach

4. Metabolic Flux and the Regulation of Mammalian Cell Growth

5. Targeting cellular metabolism to improve cancer therapeutics

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