A text-based computational framework for patient -specific modeling for classification of cancers

Patient heterogeneity precludes cancer treatment and drug development; hence, development of methods for finding prognostic markers for individual treatment is urgently required. Here, we present Pasmopy (Patient-Specific Modeling in Python), a computational framework for stratification of patients...

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Detalles Bibliográficos
Autores principales: Imoto, Hiroaki, Yamashiro, Sawa, Okada, Mariko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076893/
https://www.ncbi.nlm.nih.gov/pubmed/35535207
http://dx.doi.org/10.1016/j.isci.2022.103944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076893/
https://www.ncbi.nlm.nih.gov/pubmed/35535207
http://dx.doi.org/10.1016/j.isci.2022.103944

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