AIMC Topic: Genetic Association Studies
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Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs.
PLoS computational biology
Apr 1, 2019
Increasing evidence has indicated that microRNAs(miRNAs) play vital roles in various pathological processes and thus are closely related with many complex human diseases. The identification of potential disease-related miRNAs offers new opportunities...
Deep Collaborative Filtering for Prediction of Disease Genes.
IEEE/ACM transactions on computational biology and bioinformatics
Mar 26, 2019
Accurate prioritization of potential disease genes is a fundamental challenge in biomedical research. Various algorithms have been developed to solve such problems. Inductive Matrix Completion (IMC) is one of the most reliable models for its well-est...
Interpretable genotype-to-phenotype classifiers with performance guarantees.
Scientific reports
Mar 11, 2019
Understanding the relationship between the genome of a cell and its phenotype is a central problem in precision medicine. Nonetheless, genotype-to-phenotype prediction comes with great challenges for machine learning algorithms that limit their use i...
Retrospective Data Analysis of the Influence of Age and Sex on TPMT Activity and Its Phenotype-Genotype Correlation.
The journal of applied laboratory medicine
Dec 20, 2018
BACKGROUND: Therapeutic efficacy and toxicity of thiopurine drugs (used as anticancer and immunosuppressant agents) are affected by thiopurine S-methyltransferase (TPMT) enzyme activity. genotype and/or phenotype is used to predict the risk for adve...
Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs.
International journal of molecular sciences
Nov 23, 2018
Identification of disease-related microRNAs (disease miRNAs) is helpful for understanding and exploring the etiology and pathogenesis of diseases. Most of recent methods predict disease miRNAs by integrating the similarities and associations of miRNA...
Increased risk of group B Streptococcus causing meningitis in infants with mannose-binding lectin deficiency.
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Oct 25, 2018
OBJECTIVES: To evaluate the association of mannose-binding lectin (MBL) deficiency with susceptibility and clinical features of group B Streptococcus (GBS) causing meningitis in Chinese infants.
Metabolism, Inborn Errors
Polymorphism, Genetic
Humans
Female
Infant, Newborn
Streptococcus agalactiae
Infant
Risk Factors
Disease Susceptibility
Young Adult
Case-Control Studies
Genetic Association Studies
Mannose-Binding Lectin
Adult
China
Alleles
Meningitis, Bacterial
Male
Genotype
Streptococcal Infections
Middle Aged
Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms.
Scientific reports
Oct 25, 2018
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers an...
As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018.
Yearbook of medical informatics
Aug 29, 2018
OBJECTIVES: To select, present, and summarize the best papers published in 2017 in the field of Knowledge Representation and Management (KRM).
A deep convolutional neural network approach for predicting phenotypes from genotypes.
Planta
Aug 12, 2018
Deep learning is a promising technology to accurately select individuals with high phenotypic values based on genotypic data. Genomic selection (GS) is a promising breeding strategy by which the phenotypes of plant individuals are usually predicted b...
Network-based association analysis to infer new disease-gene relationships using large-scale protein interactions.
PloS one
Jun 27, 2018
Protein-protein interactions integrated with disease-gene associations represent important information for revealing protein functions under disease conditions to improve the prevention, diagnosis, and treatment of complex diseases. Although several ...
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