Analysis of gene expression data using a linear mixed model/finite mixture model approach: application to regional differences in the human brain.
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variancePartition: interpreting drivers of variation in complex gene expression studies.Xp11.2 microduplications including IQSEC2, TSPYL2 and KDM5C genes in patients with neurodevelopmental disorders.AlzBase: an Integrative Database for Gene Dysregulation in Alzheimer's Disease.Differential Network Analysis and Graph Classification: A Glocal ApproachGene expression profiling identifies distinct molecular signatures in thrombotic and obstetric antiphospholipid syndrome
P2860
Analysis of gene expression data using a linear mixed model/finite mixture model approach: application to regional differences in the human brain.
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Analysis of gene expression da ...... ifferences in the human brain.
@ast
Analysis of gene expression da ...... ifferences in the human brain.
@en
type
label
Analysis of gene expression da ...... ifferences in the human brain.
@ast
Analysis of gene expression da ...... ifferences in the human brain.
@en
prefLabel
Analysis of gene expression da ...... ifferences in the human brain.
@ast
Analysis of gene expression da ...... ifferences in the human brain.
@en
P2860
P356
P1433
P1476
Analysis of gene expression da ...... ifferences in the human brain.
@en
P2093
United Kingdom Brain Expression Consortium (UKBEC)
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU088
P407
P577
2014-02-11T00:00:00Z