AIMC Topic: Genetic Loci

Clear Filters Showing 11 to 16 of 16 articles

Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene-gene interactions.

Scientific reports Oct 9, 2017
Epistasis within disease-related genes (gene-gene interactions) was determined through contingency table measures based on multifactor dimensionality reduction (MDR) using single-nucleotide polymorphisms (SNPs). Most MDR-based methods use the single ...
Epistasis, Genetic Multifactor Dimensionality Reduction Computer Simulation Polymorphism, Single Nucleotide Models, Genetic Coronary Artery Disease Genetic Loci Gene Frequency Humans
View on PubMed DOI

Who's Who? Detecting and Resolving Sample Anomalies in Human DNA Sequencing Studies with Peddy.

American journal of human genetics Feb 9, 2017
The potential for genetic discovery in human DNA sequencing studies is greatly diminished if DNA samples from a cohort are mislabeled, swapped, or contaminated or if they include unintended individuals. Unfortunately, the potential for such errors is...
Male Polymorphism, Single Nucleotide Genotype Genetic Association Studies Sequence Analysis, DNA Genetic Loci Machine Learning Software Female Humans Exome Genome, Human Chromosomes, Human, X Pedigree
View on PubMed DOI

Network-Based Identification and Prioritization of Key Regulators of Coronary Artery Disease Loci.

Arteriosclerosis, thrombosis, and vascular biology Mar 10, 2016
OBJECTIVE: Recent genome-wide association studies of coronary artery disease (CAD) have revealed 58 genome-wide significant and 148 suggestive genetic loci. However, the molecular mechanisms through which they contribute to CAD and the clinical impli...
Lumican Genetic Predisposition to Disease Computational Biology Signal Transduction Mice Genomics STAT3 Transcription Factor Genetic Loci Gene Expression Regulation Databases, Genetic Bayes Theorem Coronary Artery Disease Gene Expression Profiling Case-Control Studies Genome-Wide Association Study Protein Interaction Maps Gene Regulatory Networks Phenotype Humans Computer Simulation Neural Networks, Computer Animals
View on PubMed DOI

Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-learning Approaches.

Combinatorial chemistry & high throughput screening Jan 1, 2024
INTRODUCTION: To understand the risk factors of asthma, we combined genome-wide association study (GWAS) risk loci and clinical data in predicting asthma using machine-learning approaches.
Adult Asthma Male Humans Female Machine Learning Risk Factors Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genetic Loci Middle Aged Case-Control Studies Genome-Wide Association Study
View on PubMed DOI

iDHS-Deep: an integrated tool for predicting DNase I hypersensitive sites by deep neural network.

Briefings in bioinformatics Sep 2, 2021
DNase I hypersensitive site (DHS) refers to the hypersensitive region of chromatin for the DNase I enzyme. It is an important part of the noncoding region and contains a variety of regulatory elements, such as promoter, enhancer, and transcription fa...
Humans Transcription Factors DNA Internet Enhancer Elements, Genetic Datasets as Topic Software Arabidopsis Deep Learning Promoter Regions, Genetic Chromatin Protein Binding Transcription, Genetic Deoxyribonuclease I Oryza Genetic Loci
View on PubMed DOI

Epistasis Detection Based on Epi-GTBN.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Epistasis detection is a hot topic in bioinformatics due to its relevance to the detection of specific phenotypic traits and gene-gene interactions. Here, we present a step-by-step protocol to apply Epi-GTBN, a machine learning-based method based on ...
Datasets as Topic Epistasis, Genetic Genetic Loci Data Mining Phenotype Gene Regulatory Networks Polymorphism, Single Nucleotide Genotype Models, Genetic Bayes Theorem Humans Machine Learning Software
View on PubMed DOI
Popular Topics
Recent Journals