Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
about
Integrated analysis of transcriptomic and proteomic dataAn integrative imputation method based on multi-omics datasets.Review, evaluation, and discussion of the challenges of missing value imputation for mass spectrometry-based label-free global proteomicsIntegrating transcriptome and proteome profiling: Strategies and applications.
P2860
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
description
2011 nî lūn-bûn
@nan
2011 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
@ast
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
@en
type
label
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
@ast
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
@en
prefLabel
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
@ast
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
@en
P2093
P2860
P356
P1476
Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris.
@en
P2093
P2860
P304
P356
10.1155/2011/780973
P577
2011-05-04T00:00:00Z