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 …
cancer research and in molecular diagnostics but remains resource intense to implement …
[HTML][HTML] Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks
P Weitz, Y Wang, K Kartasalo, L Egevad… - …, 2022 - ncbi.nlm.nih.gov
Results We conducted the first transcriptome-wide analysis in prostate cancer, using CNNs
to predict bulk RNA-sequencing estimates from WSIs for 370 patients from the TCGA PRAD …
to predict bulk RNA-sequencing estimates from WSIs for 370 patients from the TCGA PRAD …
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.
P Weitz, Y Wang, K Kartasalo, L Egevad… - Bioinformatics (Oxford …, 2022 - europepmc.org
Results We conducted the first transcriptome-wide analysis in prostate cancer, using CNNs
to predict bulk RNA-sequencing estimates from WSIs for 370 patients from the TCGA PRAD …
to predict bulk RNA-sequencing estimates from WSIs for 370 patients from the TCGA PRAD …
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks
P Weitz, Y Wang, K Kartasalo, L Egevad… - arXiv preprint arXiv …, 2021 - arxiv.org
Molecular phenotyping by gene expression profiling is common in contemporary cancer
research and in molecular diagnostics. However, molecular profiling remains costly and …
research and in molecular diagnostics. However, molecular profiling remains costly and …
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks
P Weitz, Y Wang, K Kartasalo, L Egevad… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Molecular phenotyping by gene expression profiling is common in contemporary cancer
research and in molecular diagnostics. However, molecular profiling remains costly and …
research and in molecular diagnostics. However, molecular profiling remains costly and …
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks
P Weitz, Y Wang, K Kartasalo, L Egevad… - …, 2022 - researchportal.tuni.fi
Motivation: Molecular phenotyping by gene expression profiling is central in contemporary
cancer research and in molecular diagnostics but remains resource intense to implement …
cancer research and in molecular diagnostics but remains resource intense to implement …
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks
P Weitz, Y Wang, K Kartasalo… - Bioinformatics …, 2022 - pubmed.ncbi.nlm.nih.gov
Motivation Molecular phenotyping by gene expression profiling is central in contemporary
cancer research and in molecular diagnostics but remains resource intense to implement …
cancer research and in molecular diagnostics but remains resource intense to implement …
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks
P Weitz, Y Wang, K Kartasalo, L Egevad, J Lindberg… - 2022 - trepo.tuni.fi
Motivation: Molecular phenotyping by gene expression profiling is central in contemporary
cancer research and in molecular diagnostics but remains resource intense to implement …
cancer research and in molecular diagnostics but remains resource intense to implement …
[PDF][PDF] Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks
P Weitz, Y Wang, K Kartasalo, L Egevad… - …, 2022 - academic.oup.com
Motivation Molecular phenotyping by gene expression profiling is central in contemporary
cancer research and in molecular diagnostics but remains resource intense to implement …
cancer research and in molecular diagnostics but remains resource intense to implement …
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks.
P Weitz, Y Wang, K Kartasalo, L Egevad… - …, 2022 - search.ebscohost.com
Motivation Molecular phenotyping by gene expression profiling is central in contemporary
cancer research and in molecular diagnostics but remains resource intense to implement …
cancer research and in molecular diagnostics but remains resource intense to implement …