A Bayesian cluster analysis method for single-molecule localization microscopy data.
about
Affimer proteins are versatile and renewable affinity reagents3D Bayesian cluster analysis of super-resolution data reveals LAT recruitment to the T cell synapse.Transcriptional Regulation of T-Cell Lipid Metabolism: Implications for Plasma Membrane Lipid Rafts and T-Cell Function.Mapping molecular assemblies with fluorescence microscopy and object-based spatial statistics.Super Resolution Network Analysis Defines the Molecular Architecture of Caveolae and Caveolin-1 Scaffolds.Visualisation and analysis of hepatitis C virus non-structural proteins using super-resolution microscopyGalectin-9 binds IgM-BCR to regulate B cell signaling
P2860
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P2860
A Bayesian cluster analysis method for single-molecule localization microscopy data.
description
2016 nî lūn-bûn
@nan
2016 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
A Bayesian cluster analysis method for single-molecule localization microscopy data.
@ast
A Bayesian cluster analysis method for single-molecule localization microscopy data.
@en
type
label
A Bayesian cluster analysis method for single-molecule localization microscopy data.
@ast
A Bayesian cluster analysis method for single-molecule localization microscopy data.
@en
prefLabel
A Bayesian cluster analysis method for single-molecule localization microscopy data.
@ast
A Bayesian cluster analysis method for single-molecule localization microscopy data.
@en
P2093
P2860
P356
P1433
P1476
A Bayesian cluster analysis method for single-molecule localization microscopy data.
@en
P2093
David J Williamson
Dylan M Owen
Garth L Burn
Juliette Griffié
Lies Boelen
Michael Shannon
Nicholas A Heard
Patrick Rubin-Delanchy
P2860
P2888
P304
P356
10.1038/NPROT.2016.149
P577
2016-11-17T00:00:00Z
P6179
1000951482