Knowledge-based gene expression classification via matrix factorization

Motivation: Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze gene expression profiles. These exploratory fea...

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Detalhes bibliográficos
Main Authors: Schachtner, R., Lutter, D., Knollmüller, P., Tomé, A. M., Theis, F. J., Schmitz, G., Stetter, M., Vilda, P. Gómez, Lang, E. W.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2008
Assuntos:
Original Papers
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2638868/
https://ncbi.nlm.nih.gov/pubmed/18535085
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btn245
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