Flexible analysis of RNA-seq data using mixed effects models.
about
Fgf and Esrrb integrate epigenetic and transcriptional networks that regulate self-renewal of trophoblast stem cells.Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq data.Modeling Exon-Specific Bias Distribution Improves the Analysis of RNA-Seq DataThe exon quantification pipeline (EQP): a comprehensive approach to the quantification of gene, exon and junction expression from RNA-seq data.A dominant gain-of-function mutation in universal tyrosine kinase SRC causes thrombocytopenia, myelofibrosis, bleeding, and bone pathologies.Dawning of the age of genomics for platelet granule disorders: improving insight, diagnosis and management.A Tissue-Mapped Axolotl De Novo Transcriptome Enables Identification of Limb Regeneration FactorsPotency of Human Cardiosphere-Derived Cells from Patients with Ischemic Heart Disease Is Associated with Robust Vascular Supportive Ability.Platelet function is modified by common sequence variation in megakaryocyte super enhancersHybrid mice reveal parent-of-origin and Cis- and trans-regulatory effects in the retinaTranscriptional diversity during lineage commitment of human blood progenitors.MetaDiff: differential isoform expression analysis using random-effects meta-regression.Improving RNA-Seq expression estimation by modeling isoform- and exon-specific read sequencing rateQuantitative and functional interrogation of parent-of-origin allelic expression biases in the brain.Transcriptional profiling of macrophages derived from monocytes and iPS cells identifies a conserved response to LPS and novel alternative transcriptionThe genetic basis and fitness consequences of sperm midpiece size in deer mice.Bayesian identification of bacterial strains from sequencing data.The malignant phenotype in breast cancer is driven by eIF4A1-mediated changes in the translational landscape.Impact of Alternative Splicing on the Human Proteome.Differential analysis of RNA-seq incorporating quantification uncertainty.Distinct Genetic Networks Orchestrate the Emergence of Specific Waves of Fetal and Adult B-1 and B-2 Development.Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity.Differential contribution of cis and trans gene transcription regulatory mechanisms in amygdala and prefrontal cortex and modulation by social stress.
P2860
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P2860
Flexible analysis of RNA-seq data using mixed effects models.
description
2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին 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
Flexible analysis of RNA-seq data using mixed effects models.
@ast
Flexible analysis of RNA-seq data using mixed effects models.
@en
type
label
Flexible analysis of RNA-seq data using mixed effects models.
@ast
Flexible analysis of RNA-seq data using mixed effects models.
@en
prefLabel
Flexible analysis of RNA-seq data using mixed effects models.
@ast
Flexible analysis of RNA-seq data using mixed effects models.
@en
P356
P1433
P1476
Flexible analysis of RNA-seq data using mixed effects models
@en
P2093
Simon Tavaré
P304
P356
10.1093/BIOINFORMATICS/BTT624
P407
P577
2013-11-26T00:00:00Z