Comparison of algorithms for the detection of cancer drivers at subgene resolution
Comparison of algorithms for the detection of cancer drivers at subgene resolution
About this item
Full title
Author / Creator
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
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Publisher
New York: Nature Publishing Group US
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Scope and Contents
Contents
13 algorithms for the detection of cancer driver genes at the subgene level are assessed for their advantages and limitations.
Understanding genetic events that lead to cancer initiation and progression remains one of the biggest challenges in cancer biology. Traditionally, most algorithms for cancer-driver identification look for genes that hav...
Alternative Titles
Full title
Comparison of algorithms for the detection of cancer drivers at subgene resolution
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Record Identifier
TN_cdi_csuc_recercat_oai_recercat_cat_2072_300548
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_csuc_recercat_oai_recercat_cat_2072_300548
Other Identifiers
ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/nmeth.4364
