Article

BRACE: A novel Bayesian-based imputation approach for dimension reduction analysis of alternative splicing at single-cell resolution

2024-08-05

Abstract excerpt

Bayesian approach is a powerful tool to solve challenging questions in life sciences. One such area of life sciences in which Bayesian approach has seen an increased utility in the recent years is single-cell biology. Alternative splicing represents an additional layer of complexity underlying gene expression profile that has the potential to reveal insights into the biological mechanisms underpinning heath and di...

Topics

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

Identifiers and source

Literature Corpus work: 1f9f3fcb-cafe-5080-a41b-9423979f726f
DOI: 10.1101/2024.08.01.606201

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

BRACE: A novel Bayesian-based imputation approach for dimension reduction analysis of alternative splicing at single-cell resolutionDOI 10.1101/2024.08.01.606201Read

A Fully Automated, Data-Driven Approach for Dimensionality Reduction and Clustering in Single-Cell RNA-seq AnalysisSemantic proximity Read

Dimension reduction and denoising of single-cell RNA sequencing data in the presence of observed confounding variablesSemantic proximity Read

Inferring large networks with matrix factorisation to capture non-linear dependencies among genes using sparse single-cell profilesSemantic proximity Read

Cell-ID: gene signature extraction and cell identity recognition at individual cell levelSemantic proximity Read

A brand-new clustering method and analysis system designed for revealing the truth of the high-dimension large data deciphered the complex composition structure of human brain endothelial cells from single-cell RNA sequence dataSemantic proximity Read

Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMFSemantic proximity Read

Recovering Single-cell Heterogeneity Through Information-based Dimensionality ReductionSemantic proximity Read

Patterns, Profiles, and Parsimony: dissecting transcriptional signatures from minimal single-cell RNA-seq output with SALSASemantic proximity Read

Identifying hierarchical cell states and gene signatures with deep exponential families for single-cell transcriptomicsSemantic proximity Read

BootCellNet, a resampling-based procedure, promotes unsupervised identification of cell populations via robust inference of gene regulatory networksSemantic proximity Read

BRIE2: computational identification of splicing phenotypes from single-cell transcriptomic experiments.Semantic proximity Read

<b>McImpute</b> : Matrix completion based imputation for single cell RNA-seq dataSemantic proximity Read