Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.
Philippe WeitzYinxi WangKimmo KartasaloLars EgevadJohan LindbergHenrik GrönbergMartin EklundMattias RantalainenPublished in: Bioinform. (2022)
Keyphrases
- gene expression
- prostate cancer
- histopathology images
- convolutional neural networks
- microarray
- gene expression data
- differential expression
- rna seq
- gene expression levels
- microarray data
- protein interaction
- cancer detection
- computer aided
- gene regulation
- alternative splicing
- mr images
- gene expression patterns
- gene expression profiles
- binding sites
- biological networks
- gene selection
- high throughput
- regulatory networks
- human genome
- biological processes
- survival data
- data sets
- data mining techniques