Bayesian inference of gene expression states from single-cell RNA-seq data

Jérémie Breda; Mihaela Zavolan; Erik van Nimwegen

doi:10.1038/s41587-021-00875-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Bayesian inference of gene expression states from single-cell RNA-seq data

Jérémie Breda Mihaela Zavolan Erik van Nimwegen

Year: 2021 Journal: Nature Biotechnology Vol: 39 (8)Pages: 1008-1016 Publisher: Nature Portfolio

DOI: 10.1038/s41587-021-00875-x

Get Full-Text PDF Get Analytical Report

Keywords:

Normalization (sociology) Bayesian probability RNA-Seq Spurious relationship Computer science Inference Expression (computer science) Database normalization Data mining Cluster analysis Raw data Gene expression profiling Computational biology Gene expression Pattern recognition (psychology) Artificial intelligence Statistics Biology Mathematics Gene Transcriptome Machine learning Genetics

Metrics

Cited By

7.80

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Single-cell and spatial transcriptomics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Gene Regulatory Network Analysis

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Cell Image Analysis Techniques

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

Bayesian inference of gene expression states from single-cell RNA-seq data

Metrics

Citation History

Topics

Related Documents

Bayesian inference of the gene expression states of single cells from scRNA-seq data

Bayesian inference of the gene expression states of single cells from scRNA-seq data

Bayesian inference of the gene expression states of single cells from scRNA-seq data

Bayesian inference of the gene expression states of single cells from scRNA-seq data

Bayesian inference of the gene expression states of single cells from scRNA-seq data - Datasets