Tensorial blind source separation for improved analysis of multi-omic data

There is an increased need for integrative analyses of multi-omic data. We present and benchmark a novel tensorial independent component analysis (tICA) algorithm against current state-of-the-art methods. We find that tICA outperforms competing methods in identifying biological sources of data varia...

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Detalles Bibliográficos
Autores principales: Teschendorff, Andrew E., Jing, Han, Paul, Dirk S., Virta, Joni, Nordhausen, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994057/
https://www.ncbi.nlm.nih.gov/pubmed/29884221
http://dx.doi.org/10.1186/s13059-018-1455-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994057/
https://www.ncbi.nlm.nih.gov/pubmed/29884221
http://dx.doi.org/10.1186/s13059-018-1455-8

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