Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates.
about
QQSorphan gene regulates carbon and nitrogen partitioning across species via NF-YC interactionsA flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments.Dispersion estimation and its effect on test performance in RNA-seq data analysis: a simulation-based comparison of methodsDe novo detection of differentially bound regions for ChIP-seq data using peaks and windows: controlling error rates correctly.Genome-wide use of high- and low-affinity Tbrain transcription factor binding sites during echinoderm developmentError estimates for the analysis of differential expression from RNA-seq count data.Goodness-of-fit tests and model diagnostics for negative binomial regression of RNA sequencing dataThe level of residual dispersion variation and the power of differential expression tests for RNA-Seq datacsaw: a Bioconductor package for differential binding analysis of ChIP-seq data using sliding windows.Detecting Differentially Expressed Genes with RNA-seq Data Using Backward Selection to Account for the Effects of Relevant Covariates.From reads to regions: a Bioconductor workflow to detect differential binding in ChIP-seq dataEPIG-Seq: extracting patterns and identifying co-expressed genes from RNA-Seq data.PCAN: Probabilistic correlation analysis of two non-normal data sets.Single-gene negative binomial regression models for RNA-Seq data with higher-order asymptotic inference.Genome-wide analysis of regulation of gene expression and H3K9me2 distribution by JIL-1 kinase mediated histone H3S10 phosphorylation in Drosophilavoom: Precision weights unlock linear model analysis tools for RNA-seq read counts.Transcriptional consequences of 16p11.2 deletion and duplication in mouse cortex and multiplex autism familiesThe Aux/IAA gene rum1 involved in seminal and lateral root formation controls vascular patterning in maize (Zea mays L.) primary roots.Estimation and Testing of Gene Expression Heterosis.Higher order asymptotics for negative binomial regression inferences from RNA-sequencing data.The maize brown midrib2 (bm2) gene encodes a methylenetetrahydrofolate reductase that contributes to lignin accumulation.RNA-seq analysis of broiler liver transcriptome reveals novel responses to high ambient temperature.SimSeq: a nonparametric approach to simulation of RNA-sequence datasets.deGPS is a powerful tool for detecting differential expression in RNA-sequencing studies.diffHic: a Bioconductor package to detect differential genomic interactions in Hi-C data.Transcriptional analysis of phloem-associated cells of potato.Getting the most out of RNA-seq data analysis.TAL effectors and activation of predicted host targets distinguish Asian from African strains of the rice pathogen Xanthomonas oryzae pv. oryzicola while strict conservation suggests universal importance of five TAL effectorsTranscriptome profiling of soybean (Glycine max) roots challenged with pathogenic and non-pathogenic isolates of Fusarium oxysporum.Post-weaning blood transcriptomic differences between Yorkshire pigs divergently selected for residual feed intakeSample size calculation while controlling false discovery rate for differential expression analysis with RNA-sequencing experimentsCharacterisation of Candida within the Mycobiome/Microbiome of the Lower Respiratory Tract of ICU PatientsHistone H3 Lysine 27 demethylases Jmjd3 and Utx are required for T-cell differentiationA Potential Contributory Role for Ciliary Dysfunction in the 16p11.2 600 kb BP4-BP5 PathologyTranscriptome and H3K27 tri-methylation profiling of Ezh2-deficient lung epithelium.The Rat microRNA body atlas; Evaluation of the microRNA content of rat organs through deep sequencing and characterization of pancreas enriched miRNAs as biomarkers of pancreatic toxicity in the rat and dogOvercoming confounding plate effects in differential expression analyses of single-cell RNA-seq data.Power analysis for RNA-Seq differential expression studies.YY1 plays an essential role at all stages of B-cell differentiation.Promoter H3K4 methylation dynamically reinforces activation-induced pathways in human CD4 T cells
P2860
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P2860
Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates.
description
2012 nî lūn-bûn
@nan
2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Detecting differential express ...... shrunken dispersion estimates.
@ast
Detecting differential express ...... shrunken dispersion estimates.
@en
type
label
Detecting differential express ...... shrunken dispersion estimates.
@ast
Detecting differential express ...... shrunken dispersion estimates.
@en
prefLabel
Detecting differential express ...... shrunken dispersion estimates.
@ast
Detecting differential express ...... shrunken dispersion estimates.
@en
P50
P356
P1476
Detecting differential express ...... shrunken dispersion estimates.
@en
P2093
Steven P Lund
P304
P356
10.1515/1544-6115.1826
P577
2012-10-22T00:00:00Z