Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging

MOTIVATION: Tumour heterogeneity is being increasingly recognized as an important characteristic of cancer and as a determinant of prognosis and treatment outcome. Emerging spatial transcriptomics data hold the potential to further our understanding of tumour heterogeneity and its implications. Howe...

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Detalles Bibliográficos
Autores principales: Levy-Jurgenson, Alona, Tekpli, Xavier, Yakhini, Zohar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598444/
https://www.ncbi.nlm.nih.gov/pubmed/34358288
http://dx.doi.org/10.1093/bioinformatics/btab569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598444/
https://www.ncbi.nlm.nih.gov/pubmed/34358288
http://dx.doi.org/10.1093/bioinformatics/btab569

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