AIMC Topic: Genetic Markers
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Gene2DisCo: Gene to disease using disease commonalities.
Artificial intelligence in medicine
Sep 4, 2017
OBJECTIVE: Finding the human genes co-causing complex diseases, also known as "disease-genes", is one of the emerging and challenging tasks in biomedicine. This process, termed gene prioritization (GP), is characterized by a scarcity of known disease...
Prediction of marker genes associated with hypertension by bioinformatics analyses.
International journal of molecular medicine
May 25, 2017
This study aimed to explore the underlying marker genes associated with hypertension by bioinformatics analyses. A gene expression profile (GSE54015) was downloaded. The differentially expressed genes (DEGs) between the normotensive female (NF) and h...
Precision Medicine: Genomic Profiles to Individualize Therapy.
Otolaryngologic clinics of North America
May 17, 2017
Precision medicine is the application of genotypic and Omics biomarkers to determine the most appropriate, outcome-driven therapy for individual patients. To determine the best choice of therapy, institutions use significant information technology-en...
A reductionist approach to extract robust molecular markers from microarray data series - Isolating markers to track osseointegration.
Journal of biomedical informatics
Mar 11, 2017
Complexities in the full genome expression studies hinder the extraction of tracker genes to analyze the course of biological events. In this study, we demonstrate the applications of supervised machine learning methods to reduce the irrelevance in m...
A support vector machine model provides an accurate transcript-level-based diagnostic for major depressive disorder.
Translational psychiatry
Oct 25, 2016
Major depressive disorder (MDD) is a critical cause of morbidity and disability with an economic cost of hundreds of billions of dollars each year, necessitating more effective treatment strategies and novel approaches to translational research. A no...
Annotating the Function of the Human Genome with Gene Ontology and Disease Ontology.
BioMed research international
Aug 22, 2016
Increasing evidences indicated that function annotation of human genome in molecular level and phenotype level is very important for systematic analysis of genes. In this study, we presented a framework named Gene2Function to annotate Gene Reference ...
Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model.
Genetics and molecular research : GMR
Jul 25, 2016
Identifying biomarker genes and characterizing interaction pathways with high-dimensional and low-sample size microarray data is a major challenge in computational biology. In this field, the construction of protein-protein interaction (PPI) networks...
Genomic Prediction for Quantitative Traits Is Improved by Mapping Variants to Gene Ontology Categories in Drosophila melanogaster.
Genetics
May 27, 2016
Predicting individual quantitative trait phenotypes from high-resolution genomic polymorphism data is important for personalized medicine in humans, plant and animal breeding, and adaptive evolution. However, this is difficult for populations of unre...
Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.
PloS one
Nov 30, 2015
Multi-marker approaches have received a lot of attention recently in genome wide association studies and can enhance power to detect new associations under certain conditions. Gene-, gene-set- and pathway-based association tests are increasingly bein...
Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection.
IEEE/ACM transactions on computational biology and bioinformatics
Sep 14, 2015
Recently, feature selection and dimensionality reduction have become fundamental tools for many data mining tasks, especially for processing high-dimensional data such as gene expression microarray data. Gene expression microarray data comprises up t...
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