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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Autores principales: Robert J O’Shea, Sophia Tsoka, Gary JR Cook, Vicky Goh
Formato: article
Lenguaje:EN
Publicado: SAGE Publishing 2021
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Acceso en línea:https://doaj.org/article/d2c6613ebad14b04be7cce97ef0de93f
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