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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Detalles Bibliográficos
Autores principales: Schachtner, R., Lutter, D., Knollmüller, P., Tomé, A. M., Theis, F. J., Schmitz, G., Stetter, M., Vilda, P. Gómez, Lang, E. W.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638868/
https://www.ncbi.nlm.nih.gov/pubmed/18535085
http://dx.doi.org/10.1093/bioinformatics/btn245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638868/
https://www.ncbi.nlm.nih.gov/pubmed/18535085
http://dx.doi.org/10.1093/bioinformatics/btn245

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