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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Materias: | |
| 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 |