Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model

BACKGROUND: Predicting the response of cancer cell lines to specific drugs is an essential problem in personalized medicine. Since drug response is closely associated with genomic information in cancer cells, some large panels of several hundred human cancer cell lines are organized with genomic and...

Descripción completa

Detalles Bibliográficos
Autores principales: Emdadi, Akram, Eslahchi, Changiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844991/
https://www.ncbi.nlm.nih.gov/pubmed/33509079
http://dx.doi.org/10.1186/s12859-021-03974-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844991/
https://www.ncbi.nlm.nih.gov/pubmed/33509079
http://dx.doi.org/10.1186/s12859-021-03974-3

Ejemplares similares