Breast cancer stage prediction: a computational approach guided by transcriptome analysis.

Athira, K; Gopakumar, G

Athira, K; Gopakumar, G.

Affiliation

Athira K; Department of Computer Science and Engineering, NIT Campus PO, National Institute of Technology Calicut, Calicut, Kerala, India. athira_p160049cs@nitc.ac.in.
Gopakumar G; Department of Computer Science and Engineering, NIT Campus PO, National Institute of Technology Calicut, Calicut, Kerala, India.

Mol Genet Genomics ; 297(6): 1467-1479, 2022 Nov.

Article in En | MEDLINE | ID: mdl-35922530

Subject(s)

Breast Neoplasms; Humans; Female; Breast Neoplasms/genetics; Gene Expression Profiling; Neoplasm Staging; Support Vector Machine; Biomarkers; Transcriptome/genetics

Key words

Biomarker; Breast cancer; Breast cancer stage classification; Gene expression; Posterior probability; Principal component analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms Type of study: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Female / Humans Language: En Journal: Mol Genet Genomics Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2022 Document type: Article Affiliation country: India Country of publication: Germany

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