Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
about
Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individualsRNA Sequencing and AnalysisRNA-Seq optimization with eQTL gold standards.Gene Ranking of RNA-Seq Data via Discriminant Non-Negative Matrix Factorization.Gene co-expression network connectivity is an important determinant of selective constraint.An independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait lociHypermethylation in the ZBTB20 gene is associated with major depressive disorder.A pooling-based approach to mapping genetic variants associated with DNA methylation.Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders.Integrated analyses of gene expression and genetic association studies in a founder population.Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.Allele-specific expression reveals interactions between genetic variation and environment.CellCODE: a robust latent variable approach to differential expression analysis for heterogeneous cell populations.Differential activation of immune/inflammatory response-related co-expression modules in the hippocampus across the major psychiatric disorders.Co-expression networks reveal the tissue-specific regulation of transcription and splicing.Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions.An xQTL map integrates the genetic architecture of the human brain's transcriptome and epigenome.
P2860
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P2860
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
@ast
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
@en
type
label
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
@ast
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
@en
prefLabel
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
@ast
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
@en
P2093
P2860
P1433
P1476
Normalizing RNA-sequencing data by modeling hidden covariates with prior knowledge.
@en
P2093
Alexander E Urban
Alexis Battle
Douglas Levinson
Stephen B Montgomery
Xiaowei Zhu
P2860
P304
P356
10.1371/JOURNAL.PONE.0068141
P407
P577
2013-07-18T00:00:00Z