BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data

In gene expression data analysis framework, ultrahigh dimensionality and measurement error are ubiquitous features. Therefore, it is crucial to correct measurement error effects and make variable selection when fitting a regression model. In this paper, we introduce a python package BOOME, which ref...

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Detalles Bibliográficos
Autor principal: Chen, Li-Pang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612554/
https://www.ncbi.nlm.nih.gov/pubmed/36301828
http://dx.doi.org/10.1371/journal.pone.0276664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612554/
https://www.ncbi.nlm.nih.gov/pubmed/36301828
http://dx.doi.org/10.1371/journal.pone.0276664

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