about
edgeR: a Bioconductor package for differential expression analysis of digital gene expression dataCount-based differential expression analysis of RNA sequencing data using R and BioconductorThe genetic architecture of type 2 diabetesDetecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates.A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor.Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in RMOZ and BMI1 play opposing roles during Hox gene activation in ES cells and in body segment identity specification in vivo.Classification of low quality cells from single-cell RNA-seq dataDifferential expression analysis of multifactor RNA-Seq experiments with respect to biological variation.Factors influencing success of clinical genome sequencing across a broad spectrum of disordersChoice of transcripts and software has a large effect on variant annotation.Testing significance relative to a fold-change threshold is a TREAT.Common genetic variation drives molecular heterogeneity in human iPSCs.f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq.Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.Aliskiren increases bradykinin and tissue kallikrein mRNA levels in the heart.Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Analysis, and Experimental DesignCombined single cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneityCardelino: Integrating whole exomes and single-cell transcriptomes to reveal phenotypic impact of somatic variantsCombined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneityEleven grand challenges in single-cell data scienceSingle-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expressionCardelino: computational integration of somatic clonal substructure and single-cell transcriptomesPublisher Correction: Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expressionVireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference
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description
hulumtues
@sq
onderzoeker
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researcher
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հետազոտող
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name
Davis J McCarthy
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Davis J McCarthy
@en
Davis J McCarthy
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Davis J McCarthy
@nl
Davis J McCarthy
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type
label
Davis J McCarthy
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Davis J McCarthy
@en
Davis J McCarthy
@es
Davis J McCarthy
@nl
Davis J McCarthy
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Davis J. McCarthy
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prefLabel
Davis J McCarthy
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Davis J McCarthy
@en
Davis J McCarthy
@es
Davis J McCarthy
@nl
Davis J McCarthy
@sl
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0000-0002-2218-6833