EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments. - Wikidata - awgldk - TriplyDB

EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

http://www.wikidata.org/entity/Q39190922

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The genomic landscape underlying phenotypic integrity in the face of gene flow in crows Transcriptome response to temperature stress in the wolf spiderPardosa pseudoannulata(Araneae: Lycosidae)Analysis of Whole Transcriptome Sequencing Data: Workflow and Software Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis A survey of best practices for RNA-seq data analysis RNA-sequencing study of peripheral blood monocytes in chronic periodontitis Asparagus Spears as a Model to Study Heteroxylan Biosynthesis during Secondary Wall Development Transcriptomic Profiling Reveals Complex Molecular Regulation in Cotton Genic Male Sterile Mutant Yu98-8A Epigenomic landscapes of retinal rods and cones Compound Heterozygosity for Y Box Proteins Causes Sterility Due to Loss of Translational Repression Comparative Transcriptomic Approaches Exploring Contamination Stress Tolerance in Salix sp. Reveal the Importance for a Metaorganismal de Novo Assembly Approach for Nonmodel Plants Combined de novo and genome guided assembly and annotation of the Pinus patula juvenile shoot transcriptome Comparative inner ear transcriptome analysis between the Rickett's big-footed bats (Myotis ricketti) and the greater short-nosed fruit bats (Cynopterus sphinx).Transcriptome response to elevated atmospheric CO2 concentration in the Formosan subterranean termite, Coptotermes formosanus Shiraki (Isoptera: Rhinotermitidae)De Novo Transcriptome Analysis of the Common New Zealand Stick Insect Clitarchus hookeri (Phasmatodea) Reveals Genes Involved in Olfaction, Digestion and Sexual Reproduction Differential Gene Expression Analysis of the Epacromius coerulipes (Orthoptera: Acrididae) Transcriptome Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis Bayesian Correlation Analysis for Sequence Count Data Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflow NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data Robustly detecting differential expression in RNA sequencing data using observation weights.Global Transcriptional Profiling of Diapause and Climatic Adaptation in Drosophila melanogaster.Endoglin integrates BMP and Wnt signalling to induce haematopoiesis through JDP2.CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF knockout experiments.Distinct and Shared Determinants of Cardiomyocyte Contractility in Multi-Lineage Competent Ethnically Diverse Human iPSCs.BADGE: a novel Bayesian model for accurate abundance quantification and differential analysis of RNA-Seq data.IUTA: a tool for effectively detecting differential isoform usage from RNA-Seq data.LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data.rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads.The Impact of Normalization Methods on RNA-Seq Data Analysis.Comparative assessment of methods for the computational inference of transcript isoform abundance from RNA-seq data.Interspecific Differential Expression Analysis of RNA-Seq Data Yields Insight into Life Cycle Variation in Hydractiniid Hydrozoans Modeling Exon-Specific Bias Distribution Improves the Analysis of RNA-Seq Data Evaluation of methods for differential expression analysis on multi-group RNA-seq count data.Empirical likelihood tests for nonparametric detection of differential expression from RNA-seq data.Detection of generic differential RNA processing events from RNA-seq data.What if we ignore the random effects when analyzing RNA-seq data in a multifactor experiment.A Markov random field-based approach for joint estimation of differentially expressed genes in mouse transcriptome data.

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EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

http://www.wikidata.org/entity/Q39190922

description

2013 nî lūn-bûn

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2013年论文

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2013年论文

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2013年论文

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name

EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

@en

EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

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type

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EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

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EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

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EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

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EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

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EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments.

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Anna I Rissman

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Bart M G Smits

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James A Thomson

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Jill D Haag

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John A Dawson

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Michael N Gould

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Ning Leng

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Ron M Stewart

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Victor Ruotti

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P2860

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

Differential expression analysis for sequence count data

The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

A scaling normalization method for differential expression analysis of RNA-seq data

Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

TopHat: discovering splice junctions with RNA-Seq

Alternative isoform regulation in human tissue transcriptomes

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments

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10.1093/BIOINFORMATICS/BTT087

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8

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29

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Christina Kendziorski

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