Bayesian approach for predicting responses to therapy from high-dimensional time-course gene expression profiles

BACKGROUND: Historical and updated information provided by time-course data collected during an entire treatment period proves to be more useful than information provided by single-point data. Accurate predictions made using time-course data on multiple biomarkers that indicate a patient’s response...

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Detalles Bibliográficos
Autores principales: Fukushima, Arika, Sugimoto, Masahiro, Hiwa, Satoru, Hiroyasu, Tomoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977599/
https://www.ncbi.nlm.nih.gov/pubmed/33736614
http://dx.doi.org/10.1186/s12859-021-04052-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977599/
https://www.ncbi.nlm.nih.gov/pubmed/33736614
http://dx.doi.org/10.1186/s12859-021-04052-4

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