Article

Deep learning for predicting disease status using genomic data

2018-08-16

Abstract excerpt

Predicting disease status for a complex human disease using genomic data is an important, yet challenging, step in personalized medicine. Among many challenges, the so-called curse of dimensionality problem results in unsatisfied performances of many state-of-art machine learning algorithms. A major recent advance in machine learning is the rapid development of deep learning algorithms that can efficiently extract...

Topics

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

Identifiers and source

Literature Corpus work: 08cf023d-0038-541e-8071-f78eb8c50e3c
DOI: 10.7287/peerj.preprints.27123v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep learning for predicting disease status using genomic dataDOI 10.7287/peerj.preprints.27123v1Read

Deep Learning Framework for Complex Disease Risk Prediction Using Genomic Variations.Semantic proximity Read

A Systematic Review: Deep Learning for Analyzing Genomic Data to Discover Evolutionary PatternsSemantic proximity Read

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

Integrating Genomic Data with Deep Learning for Personalized Cancer TreatmentSemantic proximity Read

Deep learning genome-wide genetics through biregular sparse decoder layer: deriving new disease genetic associations and disease risk predictionsSemantic proximity Read

A Convolutional Deep Learning Approach to identify DNA Sequences for Gene PredictionSemantic proximity Read

AUTOSurv: Interpretable Deep Learning Framework for Cancer Survival Analysis Incorporating Clinical and Multi-omics DataSemantic proximity Read

Machine learning based disease prediction from genotype data.Semantic proximity Read

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

Deep neural network improves the estimation of polygenic risk scores for breast cancer.Semantic proximity Read

MOCAT: Multi-Omics Integration with Auxiliary Classifiers Enhanced AutoencoderSemantic proximity Read

Deep Learning for Rare Disease: A Scoping ReviewSemantic proximity Read