Article

Multi-omics and deep learning provide a multifaceted view of cancer

2021-10-01

Abstract excerpt

Cancer is a complex disease with a large financial and healthcare burden on society. One hallmark of the disease is the uncontrolled growth and proliferation of malignant cells. Unlike Mendelian diseases which may be explained by a few genomic loci, a deeper molecular and mechanistic understanding of the development of cancer is needed. Such an endeavor requires the integration of tens of thousands of molecular fe...

Topics

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

Identifiers and source

Literature Corpus work: bcbb1a5b-1e1d-5f71-89d5-8dd14c11f8f4
DOI: 10.1101/2021.09.29.462364

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-omics and deep learning provide a multifaceted view of cancerDOI 10.1101/2021.09.29.462364Read

Deep learning–driven multi-omics analysis: enhancing cancer diagnostics and therapeuticsSemantic proximity Read

Integrating multi-omics data through deep learning for accurate cancer prognosis predictionSemantic proximity Read

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics dataSemantic proximity Read

Deep learning based on multi-omics integration identifies potential therapeutic targets in breast cancerSemantic proximity Read

Self-Normalizing Deep Learning for Enhanced Multi-Omics Data Analysis in OncologySemantic proximity Read

Deep learning can predict multi-omic biomarkers from routine pathology images: A systematic large-scale studySemantic proximity Read

Trans-Driver: a deep learning approach for cancer driver gene discovery with multi-omics dataSemantic proximity Read

PIMO: Pathway-based Interpretable Multi-Omics interactions for multi-omics integrationSemantic proximity Read

IOBR: Multi-omics Immuno-Oncology Biological Research to decode tumor microenvironment and signaturesSemantic proximity Read

Machine Learning Approaches for Identification of Potential Biomarkers from Cancer Omics DataSemantic proximity Read

AI‐Driven Multi‐Omics Integrated Applications Using Diverse Neural Networks for Breast Cancer Diagnostic Screening and Biomarker DiscoverySemantic proximity Read

Deep Learning based multi-omics integration robustly predicts survival in liver cancerSemantic proximity Read