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Sparse Regression in Cancer Genomics: Comparing Variable Selection and Predictions in Real World Data

BACKGROUND: Evaluation of gene interaction models in cancer genomics is challenging, as the true distribution is uncertain. Previous analyses have benchmarked models using synthetic data or databases of experimentally verified interactions – approaches which are susceptible to misrepresentation and...

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Detalles Bibliográficos
Autores principales:	O’Shea, Robert J, Tsoka, Sophia, Cook, Gary JR, Goh, Vicky
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2021
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640984/ https://www.ncbi.nlm.nih.gov/pubmed/34866896 http://dx.doi.org/10.1177/11769351211056298

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