ScribbleDom: using scribble-annotated histology images to identify domains in spatial transcriptomics data

MOTIVATION: Spatial domain identification is a very important problem in the field of spatial transcriptomics. The state-of-the-art solutions to this problem focus on unsupervised methods, as there is lack of data for a supervised learning formulation. The results obtained from these methods highlig...

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Detalles Bibliográficos
Autores principales: Rahman, Mohammad Nuwaisir, Noman, Abdullah Al, Turza, Abir Mohammad, Abrar, Mohammed Abid, Samee, Md Abul Hassan, Rahman, M Saifur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564617/
https://www.ncbi.nlm.nih.gov/pubmed/37756699
http://dx.doi.org/10.1093/bioinformatics/btad594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564617/
https://www.ncbi.nlm.nih.gov/pubmed/37756699
http://dx.doi.org/10.1093/bioinformatics/btad594

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