eSPRESSO: topological clustering of single-cell transcriptomics data to reveal informative genes for spatio–temporal architectures of cells

BACKGROUND: Bioinformatics capability to analyze spatio–temporal dynamics of gene expression is essential in understanding animal development. Animal cells are spatially organized as functional tissues where cellular gene expression data contain information that governs morphogenesis during the deve...

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Detalles Bibliográficos
Autores principales: Mori, Tomoya, Takase, Toshiro, Lan, Kuan-Chun, Yamane, Junko, Alev, Cantas, Kimura, Azuma, Osafune, Kenji, Yamashita, Jun K., Akutsu, Tatsuya, Kitano, Hiroaki, Fujibuchi, Wataru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268514/
https://www.ncbi.nlm.nih.gov/pubmed/37322439
http://dx.doi.org/10.1186/s12859-023-05355-4

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