Protein mass spectra data analysis for clinical biomarker discovery: a global review.
about
Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology.Bayesian inference for biomarker discovery in proteomics: an analytic solution.Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI-TOF mass spectrometry.
P2860
Protein mass spectra data analysis for clinical biomarker discovery: a global review.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Protein mass spectra data analysis for clinical biomarker discovery: a global review.
@ast
Protein mass spectra data analysis for clinical biomarker discovery: a global review.
@en
type
label
Protein mass spectra data analysis for clinical biomarker discovery: a global review.
@ast
Protein mass spectra data analysis for clinical biomarker discovery: a global review.
@en
prefLabel
Protein mass spectra data analysis for clinical biomarker discovery: a global review.
@ast
Protein mass spectra data analysis for clinical biomarker discovery: a global review.
@en
P2093
P2860
P356
P1476
Protein mass spectra data analysis for clinical biomarker discovery: a global review.
@en
P2093
Caroline Truntzer
Nicolas Molinari
Thomas Jouve
P2860
P304
P356
10.1093/BIB/BBQ019
P577
2010-06-09T00:00:00Z