Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses.
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Revisiting biomarker discovery by plasma proteomics.Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results.Systems proteomics approaches to study bacterial pathogens: application to Mycobacterium tuberculosis.AP-SWATH reveals direct involvement of VCP/p97 in integrated stress response signaling through facilitating CReP/PPP1R15B degradation.Quality assessment and interference detection in targeted mass spectrometry data using machine learningData-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial
P2860
Statistical control of peptide and protein error rates in large-scale targeted data-independent acquisition analyses.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
Statistical control of peptide ...... ependent acquisition analyses.
@en
type
label
Statistical control of peptide ...... ependent acquisition analyses.
@en
prefLabel
Statistical control of peptide ...... ependent acquisition analyses.
@en
P2093
P2860
P50
P356
P1433
P1476
Statistical control of peptide ...... ependent acquisition analyses.
@en
P2093
Brendan X MacLean
Christie L Hunter
Lukas Reiter
Moritz Heusel
Patrick G A Pedrioli
Uwe Schmitt
Ying S Ting
P2860
P2888
P304
P356
10.1038/NMETH.4398
P50
P577
2017-08-21T00:00:00Z
P6179
1091282002