Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis

Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis

Abstract Background Longitudinal gene expression analysis and survival modeling have been proved to add valuable biological and clinical knowledge. This study proposes a novel framework to discover gene signatures and patterns in a high-dimensional time series transcriptomics data and to assess thei...

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Bibliographic Details
Main Authors: Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BioData Mining
Subjects:
Longitudinal gene expression data
Regularised optimisation
Pattern mining
Imputation
Multivariate time series clustering
Online Access:https://doi.org/10.1186/s13040-021-00257-8

Internet

https://doi.org/10.1186/s13040-021-00257-8

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