Investigating the Lung Adenocarcinoma Stem Cell Biomarker Expressions Using Machine Learning Approac...
Investigating the Lung Adenocarcinoma Stem Cell Biomarker Expressions Using Machine Learning Approaches
About this item
Full title
Author / Creator
Publisher
United States: Hindawi
Journal title
Language
English
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Publication information
Publisher
United States: Hindawi
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Scope and Contents
Contents
The objective of the study is to look at the activation of stem cell-related markers in lung adenocarcinoma. Utilizing an unsupervised machine learning approach centered on the mRNA expression of pluripotent stem cells as well as its subsequent developed progeny, the mRNA stemness index of further around 500 LUAD patients from The Cancer Genome Atl...
Alternative Titles
Full title
Investigating the Lung Adenocarcinoma Stem Cell Biomarker Expressions Using Machine Learning Approaches
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9526580
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9526580
Other Identifiers
ISSN
2314-6133
E-ISSN
2314-6141
DOI
10.1155/2022/3518190
