Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells.
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When is hub gene selection better than standard meta-analysis?Comparison of co-expression measures: mutual information, correlation, and model based indicesRare coding variants in the phospholipase D3 gene confer risk for Alzheimer's diseaseDetecting network modules in fMRI time series: a weighted network analysis approachModeling host genetic regulation of influenza pathogenesis in the collaborative crossAnalysis of time-resolved gene expression measurements across individualsSystems analysis of human brain gene expression: mechanisms for HIV-associated neurocognitive impairment and common pathways with Alzheimer's diseaseMonoclonal antibody targeting of N-cadherin inhibits prostate cancer growth, metastasis and castration resistanceAn integrative analysis of meningioma tumors reveals the determinant genes and pathways of malignant transformationInsights into TREM2 biology by network analysis of human brain gene expression data.Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia.Inferring interaction type in gene regulatory networks using co-expression data.Co-expression network-based analysis of hippocampal expression data associated with Alzheimer's disease using a novel algorithm.Combining transcription factor binding affinities with open-chromatin data for accurate gene expression predictionAutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number.DCGL: an R package for identifying differentially coexpressed genes and links from gene expression microarray dataIs human blood a good surrogate for brain tissue in transcriptional studies?Is my network module preserved and reproducible?Protein expression based multimarker analysis of breast cancer samplesLink-based quantitative methods to identify differentially coexpressed genes and gene pairs.attract: A method for identifying core pathways that define cellular phenotypes.Genetic architecture of gene expression in ovine skeletal muscleComparing statistical methods for constructing large scale gene networks.Toward a complete in silico, multi-layered embryonic stem cell regulatory network.The nuclear envelope environment and its cancer connections.Network methods for describing sample relationships in genomic datasets: application to Huntington's disease.Co-expression analysis of fetal weight-related genes in ovine skeletal muscle during mid and late fetal development stages.Gene differential coexpression analysis based on biweight correlation and maximum clique.Histone proteolysis: a proposal for categorization into 'clipping' and 'degradation'.DCGL v2.0: an R package for unveiling differential regulation from differential co-expressionGenome-wide analysis of coordinated transcript abundance during seed development in different Brassica rapa morphotypesGeneFriends: a human RNA-seq-based gene and transcript co-expression databaseIdentify the signature genes for diagnose of uveal melanoma by weight gene co-expression network analysis.Epigenetic modulation of brain gene networks for cocaine and alcohol abuse.Modular Organization of Functional Network Connectivity in Healthy Controls and Patients with Schizophrenia during the Resting State.Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence.Differential gene network analysis for the identification of asthma-associated therapeutic targets in allergen-specific T-helper memory responses.Module Based Differential Coexpression Analysis Method for Type 2 Diabetes.Networks' Characteristics Matter for Systems BiologyIntegrated analysis of genetic, behavioral, and biochemical data implicates neural stem cell-induced changes in immunity, neurotransmission and mitochondrial function in Dementia with Lewy Body mice.
P2860
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P2860
Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
name
Signed weighted gene co-expres ...... n murine embryonic stem cells.
@ast
Signed weighted gene co-expres ...... n murine embryonic stem cells.
@en
type
label
Signed weighted gene co-expres ...... n murine embryonic stem cells.
@ast
Signed weighted gene co-expres ...... n murine embryonic stem cells.
@en
prefLabel
Signed weighted gene co-expres ...... n murine embryonic stem cells.
@ast
Signed weighted gene co-expres ...... n murine embryonic stem cells.
@en
P2093
P2860
P356
P1433
P1476
Signed weighted gene co-expres ...... n murine embryonic stem cells.
@en
P2093
Mike J Mason
Steve Horvath
P2860
P2888
P356
10.1186/1471-2164-10-327
P407
P577
2009-07-20T00:00:00Z
P5875
P6179
1022973303