AIMC Topic: Alleles
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Explainable artificial intelligence in forensic DNA analysis: Alleles identification in challenging electropherograms using supervised machine learning methods.
Forensic science international. Genetics
Jun 1, 2025
Challenging samples in capillary electrophoresis (CE)-based short tandem repeat (STR) analysis often produce artefactual signals that cannot be completely filtered out by expert electropherogram (EPG) reading systems, complicating allele interpretati...
ESMpHLA: Evolutionary Scale Model-Based Deep Learning Prediction of HLA Class I Binding Peptides.
HLA
May 1, 2025
The recognition of endogenous peptides by HLA class I plays a crucial role in CD8+ T cell immune responses and human adaptive cell immune. Thus, the prediction of HLA class I-peptide binding affinities is always the core issue for the research of imm...
Machine learning to optimize automated RH genotyping using whole-exome sequencing data.
Blood advances
Jun 11, 2024
Rh phenotype matching reduces but does not eliminate alloimmunization in patients with sickle cell disease (SCD) due to RH genetic diversity that is not distinguishable by serological typing. RH genotype matching can potentially mitigate Rh alloimmun...
Deep Learning-Based HLA Allele Imputation Applicable to GWAS.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2024
Human leukocyte antigen (HLA) imputation is an essential step following genome-wide association study, particularly when putative associations in HLA genes are identified, to fully understand the genetic basis of human traits. Different HLA imputatio...
Probing the link between the APOE-ε4 allele and whole-brain gray matter using deep learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
The APOE-ε4 allele is a known genetic risk for Alzheimer's disease (AD). Thus, it can be reasoned that the APOE-ε4 allele would also impact neurodegeneration-associated structural brain changes. Here we probe if the APOE-ε4 genotype directly modulate...
Identification of haploinsufficient genes from epigenomic data using deep forest.
Briefings in bioinformatics
Sep 2, 2021
Haploinsufficiency, wherein a single allele is not enough to maintain normal functions, can lead to many diseases including cancers and neurodevelopmental disorders. Recently, computational methods for identifying haploinsufficiency have been develop...
Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques.
Journal of Alzheimer's disease : JAD
Jan 1, 2020
BACKGROUND: Amyloid-β positivity (Aβ+) based on PET imaging is part of the enrollment criteria for many of the clinical trials of Alzheimer's disease (AD), particularly in trials for amyloid-targeted therapy. Predicting Aβ positivity prior to PET ima...
[GENES ALLELE STATUS OF ANGIOTENSINCONVERTING ENZYME (I/D) AND ENDOTHELIAL NITRIC OXIDE SYNTHASE (894 G > T) IN PATIENTS WITH ACUTE CORONARY SYNDROME].
Likars'ka sprava
Jan 1, 2015
The association of genes polymorphism of angiotensin-converting enzyme ACE (I/D) and endothelial nitric oxide synthase eNOS (894 G > T) with acute myocardial infarction (MI) among residents of North Bukovina region was evaluated. II/GG and ID/GG hapl...
Coronary Vessels
Gene Frequency
Peptidyl-Dipeptidase A
Nitric Oxide Synthase Type III
Alleles
Haplotypes
Acute Coronary Syndrome
INDEL Mutation
Adult
Male
Middle Aged
Gene Expression
Myocardial Infarction
Case-Control Studies
Polymorphism, Single Nucleotide
Risk Factors
Aged
Aged, 80 and over
Humans
Prospective Studies
Female
The quantitative prediction of HLA-B*2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
Computational methods are increasingly utilised in many immunoinformatics problems such as the prediction of binding affinity of peptides. The peptides could provide valuable insight into the drug design and development such as vaccines. Moreover, th...
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