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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

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