Visualization of proteomics data using R and bioconductor
about
Cardiovascular proteomics in the era of big data: experimental and computational advancesProteomic Analysis of Secreted Proteins from Cell Microenvironment.New approach to generating insights for aging research based on literature mining and knowledge integration.A proteomic approach to understanding the pathogenesis of idiopathic macular hole formation.Deep transcriptome annotation enables the discovery and functional characterization of cryptic small proteins.A Bioconductor workflow for processing and analysing spatial proteomics dataStable Isotope Dynamic Labeling of Secretomes (SIDLS) Identifies Authentic Secretory Proteins Released by Cancer and Stromal Cells
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P2860
Visualization of proteomics data using R and bioconductor
description
2015 nî lūn-bûn
@nan
2015 scientific article
@en
2015 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
name
Visualization of proteomics data using R and bioconductor
@ast
Visualization of proteomics data using R and bioconductor
@en
Visualization of proteomics data using R and bioconductor
@nl
type
label
Visualization of proteomics data using R and bioconductor
@ast
Visualization of proteomics data using R and bioconductor
@en
Visualization of proteomics data using R and bioconductor
@nl
prefLabel
Visualization of proteomics data using R and bioconductor
@ast
Visualization of proteomics data using R and bioconductor
@en
Visualization of proteomics data using R and bioconductor
@nl
P2860
P356
P1433
P1476
Visualization of proteomics data using R and bioconductor
@en
P2093
Lisa M Breckels
Thomas Naake
P2283
P2860
P304
P356
10.1002/PMIC.201400392
P407
P577
2015-04-01T00:00:00Z