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: CoRR (2021)
Keyphrases
- gene expression
- prostate cancer
- histopathology images
- convolutional neural networks
- microarray
- differential expression
- gene expression data
- rna seq
- gene expression levels
- protein interaction
- computer aided
- microarray data
- cancer detection
- gene regulation
- mr images
- regulatory networks
- alternative splicing
- biological processes
- high throughput
- gene expression profiles
- gene selection
- gene expression patterns
- biological networks
- medical image analysis
- machine learning
- cancer patients
- dna binding
- microarray datasets
- gene ontology