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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group
2016
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| 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 |