SVD Identifies Transcript Length Distribution Functions from DNA Microarray Data and Reveals Evolutionary Forces Globally Affecting GBM Metabolism

To search for evolutionary forces that might act upon transcript length, we use the singular value decomposition (SVD) to identify the length distribution functions of sets and subsets of human and yeast transcripts from profiles of mRNA abundance levels across gel electrophoresis migration distance...

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Detalles Bibliográficos
Autores principales: Bertagnolli, Nicolas M., Drake, Justin A., Tennessen, Jason M., Alter, Orly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839928/
https://www.ncbi.nlm.nih.gov/pubmed/24282503
http://dx.doi.org/10.1371/journal.pone.0078913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3839928/
https://www.ncbi.nlm.nih.gov/pubmed/24282503
http://dx.doi.org/10.1371/journal.pone.0078913

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