Article

RubricOE: a learning framework for genetic epidemiology

2021-03-12

Abstract excerpt

Genetic epidemiology is a growing area of interest in the past years due to the availability of genetic data with the decreasing cost of sequencing. Machine learning (ML) algorithms can be a very useful tool to study the genetic factors on disease incidence or on different traits characterizing a population. There are many challenges that plagues the field of genetic epidemiology including the unbalanced case-cont...

Topics

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

Identifiers and source

Literature Corpus work: b54fa8d3-12e7-5489-a07f-cc4a26b8940a
DOI: 10.1101/2021.03.09.21253105

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

RubricOE: a learning framework for genetic epidemiologyDOI 10.1101/2021.03.09.21253105Read

Genomic prediction of complex human traits: relatedness, trait architecture and predictive meta-models.Semantic proximity Read

Genetic Architecture of Complex Traits and Disease Risk PredictorsSemantic proximity Read

STELLAR: A flexible ensemble learning framework integrating rare variants to enhance polygenic risk predictionSemantic proximity Read

Genetic architecture of complex traits and disease risk predictors.Semantic proximity Read

PRSformer: Disease Prediction from Million-Scale Individual GenotypesSemantic proximity Read

Estimating disease prevalence in large datasets using genetic risk scores.Semantic proximity Read

Machine Learning to Advance Human Genome‐Wide Association StudiesSemantic proximity Read

Decoding Complex Genotype-Phenotype Interactions by Discretizing the GenomeSemantic proximity Read

Personalized polygenic risk prediction and assessment with a Mixture-of-Experts frameworkSemantic proximity Read

Decoding the genomic symphony: unravelling brain disorders through data integration and machine learning.Semantic proximity Read

Performance and robustness of penalized and unpenalized methods for genetic prediction of complex human disease.Semantic proximity Read

A Prism Vote Framework for Individualized Risk Prediction of Traits in Genome-wide Sequencing Data of Multiple PopulationsSemantic proximity Read