dRFEtools: dynamic recursive feature elimination for omics

MOTIVATION: Advances in technology have generated larger omics datasets with potential applications for machine learning. In many datasets, however, cost and limited sample availability result in an excessively higher number of features as compared to observations. Moreover, biological processes are...

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Detalles Bibliográficos
Autores principales: Benjamin, Kynon J M, Katipalli, Tarun, Paquola, Apuã C M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471895/
https://www.ncbi.nlm.nih.gov/pubmed/37632789
http://dx.doi.org/10.1093/bioinformatics/btad513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10471895/
https://www.ncbi.nlm.nih.gov/pubmed/37632789
http://dx.doi.org/10.1093/bioinformatics/btad513

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