UCell : Robust and scalable single-cell gene signature scoring

© 2021 The Author(s)..

UCell is an R package for evaluating gene signatures in single-cell datasets. UCell signature scores, based on the Mann-Whitney U statistic, are robust to dataset size and heterogeneity, and their calculation demands less computing time and memory than other available methods, enabling the processing of large datasets in a few minutes even on machines with limited computing power. UCell can be applied to any single-cell data matrix, and includes functions to directly interact with Seurat objects. The UCell package and documentation are available on GitHub at https://github.com/carmonalab/UCell.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:19

Enthalten in:

Computational and structural biotechnology journal - 19(2021) vom: 01., Seite 3796-3798

Sprache:

Englisch

Beteiligte Personen:

Andreatta, Massimo [VerfasserIn]
Carmona, Santiago J [VerfasserIn]

Links:

Volltext

Themen:

Cell type
Gene set enrichment
Gene signature
Journal Article
Module scoring
Single-cell

Anmerkungen:

Date Revised 07.11.2023

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.csbj.2021.06.043

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM328308870