Model-based joint visualization of multiple compositional omics datasets.
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ABSTRACT:
SUBMITTER: Hawinkel S
PROVIDER: S-EPMC7671331 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
Publications
Model-based joint visualization of multiple compositional omics datasets.
Hawinkel Stijn S Bijnens Luc L Cao Kim-Anh Lê KL Thas Olivier O
NAR genomics and bioinformatics 20200721 3
The integration of multiple omics datasets measured on the same samples is a challenging task: data come from heterogeneous sources and vary in signal quality. In addition, some omics data are inherently compositional, e.g. sequence count data. Most integrative methods are limited in their ability to handle covariates, missing values, compositional structure and heteroscedasticity. In this article we introduce a flexible model-based approach to data integration to address these current limitatio ...[more]
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