Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks

MOTIVATION: Molecular phenotyping by gene expression profiling is central in contemporary cancer research and in molecular diagnostics but remains resource intense to implement. Changes in gene expression occurring in tumours cause morphological changes in tissue, which can be observed on the micros...

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Detalles Bibliográficos
Autores principales: Weitz, Philippe, Wang, Yinxi, Kartasalo, Kimmo, Egevad, Lars, Lindberg, Johan, Grönberg, Henrik, Eklund, Martin, Rantalainen, Mattias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237721/
https://www.ncbi.nlm.nih.gov/pubmed/35595235
http://dx.doi.org/10.1093/bioinformatics/btac343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237721/
https://www.ncbi.nlm.nih.gov/pubmed/35595235
http://dx.doi.org/10.1093/bioinformatics/btac343

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