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Gene interactions in human disease studies—evidence is mounting
Despite monumental advances in molecular technology to generate genome sequence data
at scale, there is still a considerable proportion of heritability in most complex diseases that …
at scale, there is still a considerable proportion of heritability in most complex diseases that …
Epistatic features and machine learning improve Alzheimer's disease risk prediction over polygenic risk scores
S Hermes, J Cady, S Armentrout… - Journal of …, 2024 - journals.sagepub.com
Background: Polygenic risk scores (PRS) are linear combinations of genetic markers
weighted by effect size that are commonly used to predict disease risk. For complex …
weighted by effect size that are commonly used to predict disease risk. For complex …
Feature selection for polygenic risk scores using genetic algorithm and network science
Many human diseases can be attributed to genetic variations in the genome. Scientists have
been identifying genetic variants associated with disease risks using population-based data …
been identifying genetic variants associated with disease risks using population-based data …
Novel digital approaches to the assessment of problematic opioid use
The opioid epidemic continues to contribute to loss of life through overdose and significant
social and economic burdens. Many individuals who develop problematic opioid use (POU) …
social and economic burdens. Many individuals who develop problematic opioid use (POU) …
Develo** SNP Interaction Polygenic Risk Scores (PRS-int Scores)
I Sarkar - 2024 - search.proquest.com
Understanding the intricate relationship between an individual's genetic variants
(genotypes) and their observable traits (phenotypes) is imperative for comprehending the …
(genotypes) and their observable traits (phenotypes) is imperative for comprehending the …
NSPA: characterizing the disease association of multiple genetic interactions at single-subject resolution
Motivation The interaction between genetic variables is one of the major barriers to
characterizing the genetic architecture of complex traits. To consider epistasis, network …
characterizing the genetic architecture of complex traits. To consider epistasis, network …
Genetic Data Analysis and Interpretation Via Feature Selection and Network Science
Z Sha - 2024 - search.proquest.com
This thesis presents novel methods for interpreting genetic data, with a specific emphasis on
the genetic architecture of complex diseases. Traditional approaches attempt to analyze …
the genetic architecture of complex diseases. Traditional approaches attempt to analyze …
[PDF][PDF] Novel digital approaches to the assessment of problematic opioid use
PJF Jr, HR Kranzler, JH Moore - 2022 - biodatamining.biomedcentral.com
Background The prevalence and consequences of problematic opioid use (POU) continue
to be serious societal issues. Of the 71,000 overdose deaths that occurred in the United …
to be serious societal issues. Of the 71,000 overdose deaths that occurred in the United …
[PDF][PDF] DE ROL VAN PREDICTIEMODELLEN IN GWAIS
E Van Hecke - libstore.ugent.be
Sinds de vervollediging van het Humane Genome Project in 2003-2005 zijn GWAS studies
een populair instrument geworden binnen de genetische epidemiologie. In navolging van …
een populair instrument geworden binnen de genetische epidemiologie. In navolging van …
[PDF][PDF] Discovering Epistatic Interaction Features via High Performance Machine Learning
Q Wang - 2021 - minerva-access.unimelb.edu.au
Abstract GENOME-wide Association Studies (GWAS) are increasingly popular in screening
the genetic architecture of human genome. For a typical GWAS study, half a million genetic …
the genetic architecture of human genome. For a typical GWAS study, half a million genetic …