GFLASSO-LR: Logistic Regression with Generalized Fused LASSO for Gene Selection in High-Dimensional...
GFLASSO-LR: Logistic Regression with Generalized Fused LASSO for Gene Selection in High-Dimensional Cancer Classification
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Advancements in genomic technologies have paved the way for significant breakthroughs in cancer diagnostics, with DNA microarray technology standing at the forefront of identifying genetic expressions associated with various cancer types. Despite its potential, the vast dimensionality of microarray data presents a formidable challenge, necessitatin...
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Full title
GFLASSO-LR: Logistic Regression with Generalized Fused LASSO for Gene Selection in High-Dimensional Cancer Classification
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TN_cdi_doaj_primary_oai_doaj_org_article_33d55d2b04804d37a816661fc05dd281
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33d55d2b04804d37a816661fc05dd281
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ISSN
2073-431X
E-ISSN
2073-431X
DOI
10.3390/computers13040093
