Exploring the value of multiple preprocessors and classifiers in constructing models for predicting...
Exploring the value of multiple preprocessors and classifiers in constructing models for predicting microsatellite instability status in colorectal cancer
About this item
Full title
Author / Creator
Ma, Yi , Shi, Zhihao , Wei, Ying , Shi, Feng , Qin, Guochu and Zhou, Zhengyang
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Approximately 15% of patients with colorectal cancer (CRC) exhibit a distinct molecular phenotype known as microsatellite instability (MSI). Accurate and non-invasive prediction of MSI status is crucial for cost savings and guiding clinical treatment strategies. The retrospective study enrolled 307 CRC patients between January 2020 and October 2022...
Alternative Titles
Full title
Exploring the value of multiple preprocessors and classifiers in constructing models for predicting microsatellite instability status in colorectal cancer
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_62c94e793a1244bfb4ec06b576bc5f46
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_62c94e793a1244bfb4ec06b576bc5f46
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-71420-4
