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Orchestrating single-cell analysis with Bioconductor
Recent technological advancements have enabled the profiling of a large number of
genome-wide features in individual cells. However, single-cell data present unique …
genome-wide features in individual cells. However, single-cell data present unique …
Tutorial: guidelines for annotating single-cell transcriptomic maps using automated and manual methods
Single-cell transcriptomics can profile thousands of cells in a single experiment and identify
novel cell types, states and dynamics in a wide variety of tissues and organisms. Standard …
novel cell types, states and dynamics in a wide variety of tissues and organisms. Standard …
Dysregulation of brain and choroid plexus cell types in severe COVID-19
Although SARS-CoV-2 primarily targets the respiratory system, patients with and survivors of
COVID-19 can suffer neurological symptoms,–. However, an unbiased understanding of the …
COVID-19 can suffer neurological symptoms,–. However, an unbiased understanding of the …
scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data
Single-cell RNA sequencing has enabled the characterization of highly specific cell types in
many tissues, as well as both primary and stem cell-derived cell lines. An important facet of …
many tissues, as well as both primary and stem cell-derived cell lines. An important facet of …
Identification of a T follicular helper cell subset that drives anaphylactic IgE
INTRODUCTION Cross-linking of high-affinity, allergen-specific immunoglobulin E (IgE) on
mast cells results in anaphylaxis, a potentially life-threatening allergic reaction. The cellular …
mast cells results in anaphylaxis, a potentially life-threatening allergic reaction. The cellular …
Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
Background The analysis of single-cell RNA sequencing (scRNAseq) data plays an
important role in understanding the intrinsic and extrinsic cellular processes in biological …
important role in understanding the intrinsic and extrinsic cellular processes in biological …
Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis
D Schafflick, CA Xu, M Hartlehnert, M Cole… - Nature …, 2020 - nature.com
Cerebrospinal fluid (CSF) protects the central nervous system (CNS) and analyzing CSF
aids the diagnosis of CNS diseases, but our understanding of CSF leukocytes remains …
aids the diagnosis of CNS diseases, but our understanding of CSF leukocytes remains …
A practical solution to pseudoreplication bias in single-cell studies
KD Zimmerman, MA Espeland, CD Langefeld - Nature communications, 2021 - nature.com
Cells from the same individual share common genetic and environmental backgrounds and
are not statistically independent; therefore, they are subsamples or pseudoreplicates. Thus …
are not statistically independent; therefore, they are subsamples or pseudoreplicates. Thus …
Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database
As single-cell RNA-sequencing (scRNA-seq) datasets have become more widespread the
number of tools designed to analyse these data has dramatically increased. Navigating the …
number of tools designed to analyse these data has dramatically increased. Navigating the …
Evaluating methods of inferring gene regulatory networks highlights their lack of performance for single cell gene expression data
Background A fundamental fact in biology states that genes do not operate in isolation, and
yet, methods that infer regulatory networks for single cell gene expression data have been …
yet, methods that infer regulatory networks for single cell gene expression data have been …