Article

Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

2019-03-16

Abstract excerpt

Estimating the future course of cancer is invaluable to physicians; however, current clinical methods fail to effectively use the vast amount of multimodal data that is available for cancer patients. To tackle this problem, we constructed a deep neural network based model to predict the survival of patients for 20 different cancer types using gene expressions, microRNA data, clinical data and histopathology whole...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7071379c-1396-5324-bad9-6bf4afa3c949
DOI: 10.1101/577197

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning with Multimodal Representation for Pancancer Prognosis PredictionDOI 10.1101/577197Read

Development of Biologically Interpretable Multimodal Deep Learning Model for Cancer Prognosis PredictionSemantic proximity Read

Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic dataSemantic proximity Read

Predicting cancer outcomes from histology and genomics using convolutional networksSemantic proximity Read

Pan-cancer integrative histology-genomic analysis via multimodal deep learningSemantic proximity Read

MultiSurv: Long-term cancer survival prediction using multimodal deep learningSemantic proximity Read

Predicting cancer outcomes from histology and genomics using convolutional networksSemantic proximity Read

A systematic analysis of deep learning in genomics and histopathology for precision oncology.Semantic proximity Read

Predicting clinical outcomes from large scale cancer genomic profiles with deep survival modelsSemantic proximity Read

Digital profiling of cancer transcriptomes from histology images with grouped vision attentionSemantic proximity Read

Multimodal Survival Analysis of Glioblastoma Using Novel Deep Learning-Based Feature Extraction on H&E Slides and RNA SequencesSemantic proximity Read

Assessment of Emerging Pretraining Strategies in Interpretable Multimodal Deep Learning for Cancer PrognosticationSemantic proximity Read

A multimodal cross-attention pathotranscriptome integration for enhanced survival prediction of oral squamous cell carcinomaSemantic proximity Read