AIMC Topic: Pedigree
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Improving genomic prediction accuracy for meat tenderness in Nellore cattle using artificial neural networks.
Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie
Feb 5, 2020
The goal of this study was to compare the predictive performance of artificial neural networks (ANNs) with Bayesian ridge regression, Bayesian Lasso, Bayes A, Bayes B and Bayes Cπ in estimating genomic breeding values for meat tenderness in Nellore c...
Artificially intelligent scoring and classification engine for forensic identification.
Forensic science international. Genetics
Sep 19, 2019
Despite advances in genotyping technologies, traditional kinship analysis tools utilized in forensic identification have seen limited evolution and lack measures of accuracy. Here, we leverage artificial intelligence (AI) and extend the Elston-Stewar...
Cross-Generation Kinship Verification with Sparse Discriminative Metric.
IEEE transactions on pattern analysis and machine intelligence
Aug 1, 2018
Kinship verification is a very important technique in many real-world applications, e.g., personal album organization, missing person investigation and forensic analysis. However, it is extremely difficult to verify a family pair with generation gap,...
A case of apolipoprotein A-I deficiency due to carboxyl-terminal truncation.
Journal of clinical lipidology
Dec 29, 2017
Apolipoprotein A-I deficiency is a rare metabolic disease characterized by an impaired reverse cholesterol transport system resulting in excessive cholesterol accumulation. Here, we discuss a case of apolipoprotein A-I deficiency caused by a carboxyl...
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...
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
BACKGROUND: Machine learning and deep learning are powerful tools for analyzing electronic health records (EHRs) in healthcare research. Although family health history has been recognized as a major predictor for a wide spectrum of diseases, research...
Predicting Diabetic Retinopathy Using a Machine Learning Approach Informed by Whole-Exome Sequencing Studies.
Biomedical and environmental sciences : BES
Jan 20, 2025
OBJECTIVE: To establish and validate a novel diabetic retinopathy (DR) risk-prediction model using a whole-exome sequencing (WES)-based machine learning (ML) method.
Discovering predisposing genes for hereditary breast cancer using deep learning.
Briefings in bioinformatics
May 23, 2024
Breast cancer (BC) is the most common malignancy affecting Western women today. It is estimated that as many as 10% of BC cases can be attributed to germline variants. However, the genetic basis of the majority of familial BC cases has yet to be iden...
Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.
Circulation. Cardiovascular quality and outcomes
Oct 1, 2018
Cardiomyopathy, Hypertrophic, Familial
Heredity
High-Throughput Nucleotide Sequencing
Pedigree
Humans
Cardiomyopathy, Dilated
Machine Learning
Arrhythmogenic Right Ventricular Dysplasia
Phenotype
Predictive Value of Tests
Prognosis
Genetic Testing
Risk Assessment
Data Mining
Genetic Predisposition to Disease
Genetic Variation
Computational Biology
Reproducibility of Results
Risk Factors
Support Vector Machine Based on microRNA Expression Profiles to Predict Histological Origin of Ampullary Carcinoma: Case Report of a Patient Affected From Adenocarcinoma of the Papilla of Vater With Lynch Syndrome.
Pancreas
Apr 1, 2016
Adenocarcinomas of Vater's papilla (PVAC) may originate from either the pancreatic duct or the intestinal epithelium. Conflicting data have been reported about the frequency of the 2 anatomical entities and their influence on patients' prognosis. To ...
Adolescent
Child
Gene Expression Regulation, Neoplastic
Adenocarcinoma
Support Vector Machine
Adult
Colorectal Neoplasms, Hereditary Nonpolyposis
Family Health
Humans
MicroRNAs
Male
Ampulla of Vater
Prognosis
Pancreatic Neoplasms
Middle Aged
Pancreatic Ducts
Female
Carcinoma
Gene Expression Profiling
Young Adult
Pedigree
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