Kernelized multiview signed graph learning for single-cell RNA sequencing data

Kernelized multiview signed graph learning for single-cell RNA sequencing data

Abstract Background Characterizing the topology of gene regulatory networks (GRNs) is a fundamental problem in systems biology. The advent of single cell technologies has made it possible to construct GRNs at finer resolutions than bulk and microarray datasets. However, cellular heterogeneity and sp...

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Bibliographic Details
Main Authors: Abdullah Karaaslanli, Satabdi Saha, Tapabrata Maiti, Selin Aviyente
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Bioinformatics
Subjects:
Gene regulatory networks
Single cell
Graph signal processing
Graph learning
Online Access:https://doi.org/10.1186/s12859-023-05250-y

Internet

https://doi.org/10.1186/s12859-023-05250-y

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