AIMC Topic: Polymorphism, Single Nucleotide

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Novel applications of multitask learning and multiple output regression to multiple genetic trait prediction.

Bioinformatics (Oxford, England) Jun 15, 2016
UNLABELLED: Given a set of biallelic molecular markers, such as SNPs, with genotype values encoded numerically on a collection of plant, animal or human samples, the goal of genetic trait prediction is to predict the quantitative trait values by simu...
Algorithms Phenotype Animals Humans Machine Learning Plants Linear Models Quantitative Trait Loci Polymorphism, Single Nucleotide Genotype Models, Genetic
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Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences.

The international journal of biostatistics May 1, 2016
Comparing the relative fit of competing models can be used to address many different scientific questions. In classical statistics one can, if appropriate, use likelihood ratio tests and information based criterion, whereas clinical medicine has tend...
Machine Learning Risk Assessment Polymorphism, Single Nucleotide Genetic Association Studies Humans Models, Statistical Data Interpretation, Statistical
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A Novel Teaching-Learning-Based Optimization for Improved Mutagenic Primer Design in Mismatch PCR-RFLP SNP Genotyping.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2016
Many single nucleotide polymorphisms (SNPs) for complex genetic diseases are genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) in small-scale basic research studies. It is an essential work to design feasible ...
DNA Primers Polymorphism, Single Nucleotide Polymerase Chain Reaction Polymorphism, Restriction Fragment Length Computational Biology Supervised Machine Learning
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ASSOCIATION BETWEEN MURINE DOUBLE MINUTE 2 - T309G polymorphism and recurrence of hepatocellular carcinoma after surgical treatment.

Arquivos de gastroenterologia Dec 1, 2015
BACKGROUND: Discovery and incorporation of biomarker panels to cancer studies enabled the understanding of genetic variation and its interference in carcinogenesis at molecular level. The potential association between single nucleotide polymorphism (...
Male Humans Proto-Oncogene Proteins c-mdm2 Neoplasm Recurrence, Local Middle Aged Risk Factors Disease-Free Survival Carcinoma, Hepatocellular Liver Neoplasms Genotype Retrospective Studies Aged Genetic Predisposition to Disease Hepatectomy Treatment Outcome Female Polymorphism, Single Nucleotide Aged, 80 and over
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[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...
Alleles Haplotypes Acute Coronary Syndrome Gene Expression Myocardial Infarction Aged, 80 and over Humans Female Middle Aged Coronary Vessels Prospective Studies Adult Nitric Oxide Synthase Type III Case-Control Studies Risk Factors Gene Frequency Male INDEL Mutation Polymorphism, Single Nucleotide Aged Peptidyl-Dipeptidase A
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Mining nutrigenetics patterns related to obesity: use of parallel multifactor dimensionality reduction.

International journal of bioinformatics research and applications Jan 1, 2015
This paper aims to enlighten the complex etiology beneath obesity by analysing data from a large nutrigenetics study, in which nutritional and genetic factors associated with obesity were recorded for around two thousand individuals. In our previous ...
Nutrigenomics Multifactor Dimensionality Reduction Nutritional Physiological Phenomena Humans Polymorphism, Single Nucleotide Female Obesity Male Aged Data Mining Middle Aged Young Adult Adult
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Discovery of phenotypic networks from genotypic association studies with application to obesity.

International journal of data mining and bioinformatics Jan 1, 2015
Genome-wide Association Studies (GWAS) have resulted in many discovered risk variants for several obesity-related traits. However, before clinical relevance of these discoveries can be achieved, molecular or physiological mechanisms of these risk var...
Male Genome-Wide Association Study Child Female Cross-Sectional Studies Quantitative Trait, Heritable Polymorphism, Single Nucleotide Obesity Databases, Nucleic Acid Humans Artificial Intelligence Algorithms
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