Papers: 10.1093/bioinformatics/btw580
https://doi.org/10.1093/bioinformatics/btw580
DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
Cited by: 212
Author(s): Samuel Wieczorek, Florence Combes, Cosmin Lazar, Quentin Giai Gianetto, Laurent Guy, Alexia Dorffer, Anne-Marie Hesse, Yohann Couté, Myriam Ferro, Christophe Bruley, Thomas Bürger
Published: almost 9 years ago
Software Mentions 4
bioconductor: DAPAR
Tools for the Differential Analysis of Proteins Abundance with RPapers that mentioned: 5
Very Likely Science (100)
bioconductor: MSnbase
Base Functions and Classes for Mass Spectrometry and ProteomicsPapers that mentioned: 24
Very Likely Science (100)
bioconductor: MSstats
Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics ExperimentsPapers that mentioned: 115
Very Likely Science (100)
Very Likely Science (90)