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Machine Learning Approaches Identify Genes Containing Spatial Information From Single-Cell Transcriptomics Data

The development of single-cell sequencing technologies has allowed researchers to gain important new knowledge about the expression profile of genes in thousands of individual cells of a model organism or tissue. A common disadvantage of this technology is the loss of the three-dimensional (3-D) str...

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Detalles Bibliográficos
Autores principales:	Loher, Phillipe, Karathanasis, Nestoras
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902049/ https://www.ncbi.nlm.nih.gov/pubmed/33633771 http://dx.doi.org/10.3389/fgene.2020.612840

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