A systematic evaluation of normalization methods in quantitative label-free proteomics.
about
Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis.NOREVA: normalization and evaluation of MS-based metabolomics data.Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry.PANDA-view: an easy-to-use tool for statistical analysis and visualization of quantitative proteomics data
P2860
A systematic evaluation of normalization methods in quantitative label-free proteomics.
description
2018 nî lūn-bûn
@nan
2018年の論文
@ja
2018年学术文章
@wuu
2018年学术文章
@zh-cn
2018年学术文章
@zh-hans
2018年学术文章
@zh-my
2018年学术文章
@zh-sg
2018年學術文章
@yue
2018年學術文章
@zh
2018年學術文章
@zh-hant
name
A systematic evaluation of normalization methods in quantitative label-free proteomics.
@en
A systematic evaluation of normalization methods in quantitative label-free proteomics.
@nl
type
label
A systematic evaluation of normalization methods in quantitative label-free proteomics.
@en
A systematic evaluation of normalization methods in quantitative label-free proteomics.
@nl
prefLabel
A systematic evaluation of normalization methods in quantitative label-free proteomics.
@en
A systematic evaluation of normalization methods in quantitative label-free proteomics.
@nl
P2860
P356
P1476
A systematic evaluation of normalization methods in quantitative label-free proteomics.
@en
P2093
Tommi Välikangas
P2860
P356
10.1093/BIB/BBW095
P577
2018-01-01T00:00:00Z