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

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

Abstract 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 r...

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Bibliographic Details
Main Authors: Arika Fukushima, Masahiro Sugimoto, Satoru Hiwa, Tomoyuki Hiroyasu
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Bioinformatics
Subjects:
Time-course data
Gene expression profiles
Bayesian
Prediction
Therapy response
Online Access:https://doi.org/10.1186/s12859-021-04052-4

Internet

https://doi.org/10.1186/s12859-021-04052-4

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