Statistical and machine learning methods for spatially resolved transcriptomics data analysis

The recent advancement in spatial transcriptomics technology has enabled multiplexed profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the experimental technologies continue to improve, there is an emerging need for the development of analytical approaches...

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Detalles Bibliográficos
Autores principales: Zeng, Zexian, Li, Yawei, Li, Yiming, Luo, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951701/
https://www.ncbi.nlm.nih.gov/pubmed/35337374
http://dx.doi.org/10.1186/s13059-022-02653-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8951701/
https://www.ncbi.nlm.nih.gov/pubmed/35337374
http://dx.doi.org/10.1186/s13059-022-02653-7

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