A Bayesian algorithm for detecting differentially expressed proteins and its application in breast cancer research

Presence of considerable noise and missing data points make analysis of mass-spectrometry (MS) based proteomic data a challenging task. The missing values in MS data are caused by the inability of MS machines to reliably detect proteins whose abundances fall below the detection limit. We developed a...

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Detalles Bibliográficos
Autores principales: Santra, Tapesh, Delatola, Eleni Ioanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957118/
https://www.ncbi.nlm.nih.gov/pubmed/27444576
http://dx.doi.org/10.1038/srep30159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957118/
https://www.ncbi.nlm.nih.gov/pubmed/27444576
http://dx.doi.org/10.1038/srep30159

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