Improved Normalization of Systematic Biases Affecting Ion Current Measurements in Label-free Proteomics Data

Batch effects correction improves the sensitivity of significance tests in spectral counting-based comparative discovery proteomics

(2012) Josep Gregori et al.   Journal of Proteomics

A statistical selection strategy for normalization procedures in LC-MS proteomics experiments through dataset-dependent ranking of normalization scaling factors

(2011) Bobbie-Jo M. Webb-Robertson et al.   PROTEOMICS

Tackling the widespread and critical impact of batch effects in high-throughput data

(2010) Jeffrey T. Leek et al.   NATURE REVIEWS GENETICS

Interlaboratory Study Characterizing a Yeast Performance Standard for Benchmarking LC-MS Platform Performance

(2009) Amanda G. Paulovich et al.   MOLECULAR & CELLULAR PROTEOMICS

Performance Metrics for Liquid Chromatography-Tandem Mass Spectrometry Systems in Proteomics Analyses

(2009) Paul A. Rudnick et al.   MOLECULAR & CELLULAR PROTEOMICS

Development and Evaluation of Normalization Methods for Label-free Relative Quantification of Endogenous Peptides

(2009) Kim Kultima et al.   MOLECULAR & CELLULAR PROTEOMICS

Global Rank-invariant Set Normalization (GRSN) to reduce systematic distortions in microarray data

(2008) Carl R Pelz et al.   BMC BIOINFORMATICS

An Assessment of Software Solutions for the Analysis of Mass Spectrometry Based Quantitative Proteomics Data

(2008) Lukas N. Mueller et al.   JOURNAL OF PROTEOME RESEARCH

Accurate Inclusion Mass Screening

(2008) Jacob D. Jaffe et al.   MOLECULAR & CELLULAR PROTEOMICS