Bayesian Confidence Intervals for Multiplexed Proteomics Integrate Ion-statistics with Peptide Quantification Concordance,期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Bayesian Confidence Intervals for Multiplexed Proteomics Integrate Ion-statistics with Peptide Quantification Concordance,

Affiliation:	3. Department of Systems Biology, Harvard Medical School, Boston, MA 02115;4. Department of Molecular Biology & the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544;5. DOE Center for Advanced Bioenergy and Bioproducts Innovation, Princeton, NJ 08544

Abstract:	Download : Download high-res image (74KB) Download : Download full-size image Highlights •Bayesian Beta-Binomial model integrates ion statistics with peptide ratio agreement. •Model appropriately interprets information from low signal peptides. •Confidence can be assigned even without replicates. •Model adds sensitivity to detection of small changes.

Keywords:	Algorithms Biostatistics Cell biology Cellular organelles Mass Spectrometry Nuclear Translocation Quantification Statistics Subcellular analysis Tandem Mass Spectrometry Multiplexed Proteomics TMT Xenopus
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