A network-based approach to integrate nutrient environment in the prediction of synthetic lethality...
A network-based approach to integrate nutrient environment in the prediction of synthetic lethality in cancer metabolism
About this item
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Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title
Language
English
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Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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Contents
Synthetic Lethality (SL) is a promising concept in cancer research. A number of computational methods have been developed to predict SL in cancer metabolism, among which our network-based computational approach, based on genetic Minimal Cut Sets (gMCSs), can be found. A major challenge of these approaches to SL is to systematically consider tumor e...
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Full title
A network-based approach to integrate nutrient environment in the prediction of synthetic lethality in cancer metabolism
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TN_cdi_proquest_journals_2568824626
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2568824626
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E-ISSN
2692-8205
DOI
10.1101/2021.09.01.458495
How to access this item
https://www.proquest.com/docview/2568824626?pq-origsite=primo&accountid=13902
