Cauchy hyper-graph Laplacian nonnegative matrix factorization for single-cell RNA-sequencing data analysis

Cauchy hyper-graph Laplacian nonnegative matrix factorization for single-cell RNA-sequencing data analysis

Abstract Many important biological facts have been found as single-cell RNA sequencing (scRNA-seq) technology has advanced. With the use of this technology, it is now possible to investigate the connections among individual cells, genes, and illnesses. For the analysis of single-cell data, clusterin...

Полное описание

Библиографические подробности
Главные авторы: Gao-Fei Wang, Longying Shen
Формат: Статья
Язык:English
Опубликовано: BMC 2024-04-01
Серии:BMC Bioinformatics
Предметы:
Single-cell RNA sequencing
Cauchy loss function
Hyper-graph regularization
Sample clustering
Non-negative matrix factorization
Online-ссылка:https://doi.org/10.1186/s12859-024-05797-4

Internet

https://doi.org/10.1186/s12859-024-05797-4

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