Recursive expectation-maximization clustering: a method for identifying buffering mechanisms composed of phenomic modules.
about
A yeast phenomic model for the gene interaction network modulating CFTR-ΔF508 protein biogenesis.Yeast Phenomics: An Experimental Approach for Modeling Gene Interaction Networks that Buffer Disease.Recursive Indirect-Paths Modularity (RIP-M) for Detecting Community Structure in RNA-Seq Co-expression Networks.Phenomic assessment of genetic buffering by kinetic analysis of cell arrays.Introduction to focus issue: genetic interactions.
P2860
Recursive expectation-maximization clustering: a method for identifying buffering mechanisms composed of phenomic modules.
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
Recursive expectation-maximiza ...... composed of phenomic modules.
@ast
Recursive expectation-maximiza ...... composed of phenomic modules.
@en
type
label
Recursive expectation-maximiza ...... composed of phenomic modules.
@ast
Recursive expectation-maximiza ...... composed of phenomic modules.
@en
prefLabel
Recursive expectation-maximiza ...... composed of phenomic modules.
@ast
Recursive expectation-maximiza ...... composed of phenomic modules.
@en
P2093
P2860
P356
P1433
P1476
Recursive expectation-maximiza ...... composed of phenomic modules.
@en
P2093
Brett A McKinney
Dehua Tian
Jingyu Guo
John L Hartman
P2860
P304
P356
10.1063/1.3455188
P577
2010-06-01T00:00:00Z