UNIFAN: A Tool for Unsupervised Single-Cell Clustering and Annotation

Journal of computational biology: A journal of computational molecular cell biology

article

Dongshunyi Li¹  Jun Ding²  Ziv Bar-joseph³ 

[1] Computational Biology Department, School of Computer Science, Carnegie Mellon University;Meakins-Christie Laboratories, Department of Medicine, McGill University Health Centre;Machine Learning Department, School of Computer Science, Carnegie Mellon University

关键词: cell annotation;    cell type identification;    clustering;    gene expression;   

DOI  :  10.1089/cmb.2022.0251

学科分类：生物科学（综合）

来源: Mary Ann Liebert, Inc. Publishers

【 摘 要 】

UNIFAN is an unsupervised cell type annotation tool for single-cell RNA sequencing data (scRNA-seq). Given single-cell expression data as input, UNIFAN outputs cell clusters as well as annotations for each cluster. The clustering process utilizes information on pathways and biological processes and these are also used to annotate the resulting clusters. In this software article, we focus on how to install UNIFAN and on the main steps involved in using UNIFAN for cell type annotations.

【 授权许可】

Unknown