Article

Confronting false discoveries in single-cell differential expression

2021-03-12

Abstract excerpt

Differential expression analysis in single-cell transcriptomics enables the dissection of cell-type-specific responses to perturbations such as disease, trauma, or experimental manipulation. While many statistical methods are available to identify differentially expressed genes, the principles that distinguish these methods and their performance remain unclear. Here, we show that the relative performance of these...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 8f8f921b-9ea9-5b4c-95da-43489e709232
DOI: 10.1101/2021.03.12.435024

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Confronting false discoveries in single-cell differential expressionDOI 10.1101/2021.03.12.435024Read

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.Semantic proximity Read

Evaluation of tools for highly variable gene discovery from single-cell RNA-seq data.Semantic proximity Read

Benchmarking integration of single-cell differential expressionSemantic proximity Read

Integrative analysis of single-cell gene expression: A comprehensive database approachSemantic proximity Read

Robust identification of perturbed cell types in single-cell RNA-seq dataSemantic proximity Read

A Universal Algorithm to Detect Rare or Novel Cell Types in High-Throughput Single-Cell Gene Expression DataSemantic proximity Read

Aging causes changes in transcriptional noise across a diverse set of cell typesSemantic proximity Read

Cluster decomposition-based anomaly detection for rare cell identification in single-cell expression dataSemantic proximity Read

Leveraging gene correlations in single cell transcriptomic dataSemantic proximity Read

Diversity training for signal transduction: leveraging cell-to-cell variability to dissect cellular signaling, differentiation and death.Semantic proximity Read

Single cell transcriptomics comes of ageSemantic proximity Read

Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation.Semantic proximity Read