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

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 sparsity o...

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Detalles Bibliográficos
Autores principales: Karaaslanli, Abdullah, Saha, Satabdi, Maiti, Tapabrata, Aviyente, Selin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071725/
https://www.ncbi.nlm.nih.gov/pubmed/37016281
http://dx.doi.org/10.1186/s12859-023-05250-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071725/
https://www.ncbi.nlm.nih.gov/pubmed/37016281
http://dx.doi.org/10.1186/s12859-023-05250-y

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