msCompare: A Framework for Quantitative Analysis of Label-free LC-MS Data for Comparative Candidate Biomarker Studies

Data processing forms an integral part of biomarker discovery and contributes significantly to the ultimate result. To compare and evaluate various publicly available open source label-free data processing workflows, we developed msCompare, a modular framework that allows the arbitrary combination o...

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Main Authors: Hoekman, Berend, Breitling, Rainer, Suits, Frank, Bischoff, Rainer, Horvatovich, Peter
Format: Artigo
Jezik:Inglês
Izdano: The American Society for Biochemistry and Molecular Biology 2012
Teme:
Technological Innovation and Resources
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC3433919/
https://ncbi.nlm.nih.gov/pubmed/22318370
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1074/mcp.M111.015974
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