Lista de obras - Davis J McCarthy - Dominio Público Uruguay

A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor.

artículo científico publicado en 2016

Aliskiren increases bradykinin and tissue kallikrein mRNA levels in the heart

artículo científico publicado en 2011

Cardelino: Integrating whole exomes and single-cell transcriptomes to reveal phenotypic impact of somatic variants

Cardelino: computational integration of somatic clonal substructure and single-cell transcriptomes

artículo científico publicado en 2020

Choice of transcripts and software has a large effect on variant annotation

artículo científico publicado en 2014

Classification of low quality cells from single-cell RNA-seq data

artículo científico publicado en 2016

Combined single cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

artículo científico publicado en 2019

Common genetic variation drives molecular heterogeneity in human iPSCs

artículo científico publicado en 2017

Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

artículo científico publicado en 2013

Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates

artículo científico publicado en 2012

Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Analysis, and Experimental Design

scholarly article published 22 September 2011

Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation

artículo científico publicado en 2012

Eleven grand challenges in single-cell data science

artículo científico publicado en 2020

Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

artículo científico publicado en 2018

Factors influencing success of clinical genome sequencing across a broad spectrum of disorders

artículo científico publicado en 2015

Key signaling networks are dysregulated in patients with the adipose tissue disorder, lipedema

artículo científico publicado en 2021

MOZ and BMI1 play opposing roles during Hox gene activation in ES cells and in body segment identity specification in vivo

artículo científico publicado en 2015

Publisher Correction: Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

artículo científico publicado en 2020

Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R

artículo científico publicado en 2017

Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

artículo científico publicado en 2017

Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

artículo científico publicado en 2020

Testing significance relative to a fold-change threshold is a TREAT.

artículo científico publicado en 2009

The genetic architecture of type 2 diabetes

artículo científico publicado en 2016

Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data

scientific article published on 07 December 2020

Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference

artículo científico publicado en 2019

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

artículo científico publicado en 2010

f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq.

artículo científico publicado en 2017

Lista de obras de Davis J McCarthy

A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor.

Aliskiren increases bradykinin and tissue kallikrein mRNA levels in the heart

Cardelino: Integrating whole exomes and single-cell transcriptomes to reveal phenotypic impact of somatic variants

Cardelino: computational integration of somatic clonal substructure and single-cell transcriptomes

Choice of transcripts and software has a large effect on variant annotation

Classification of low quality cells from single-cell RNA-seq data

Combined single cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

Combined single-cell profiling of expression and DNA methylation reveals splicing regulation and heterogeneity

Common genetic variation drives molecular heterogeneity in human iPSCs

Count-based differential expression analysis of RNA sequencing data using R and Bioconductor

Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates

Differential Expression for RNA Sequencing (RNA-Seq) Data: Mapping, Summarization, Statistical Analysis, and Experimental Design

Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation

Eleven grand challenges in single-cell data science

Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

Factors influencing success of clinical genome sequencing across a broad spectrum of disorders

Key signaling networks are dysregulated in patients with the adipose tissue disorder, lipedema

MOZ and BMI1 play opposing roles during Hox gene activation in ES cells and in body segment identity specification in vivo

Publisher Correction: Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R

Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

Testing significance relative to a fold-change threshold is a TREAT.

The genetic architecture of type 2 diabetes

Tutorial: guidelines for the computational analysis of single-cell RNA sequencing data

Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq.