AIMC Topic: Genetic Association Studies

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Computational aspects underlying genome to phenome analysis in plants.

The Plant journal : for cell and molecular biology Jan 1, 2019
Recent advances in genomics technologies have greatly accelerated the progress in both fundamental plant science and applied breeding research. Concurrently, high-throughput plant phenotyping is becoming widely adopted in the plant community, promisi...
Genomics Genetic Association Studies Phenotype Quantitative Trait Loci Phenomics Genome, Plant Plants Machine Learning
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Gene multifunctionality scoring using gene ontology.

Journal of bioinformatics and computational biology Oct 1, 2018
Multifunctional genes are important genes because of their essential roles in human cells. Studying and analyzing multifunctional genes can help understand disease mechanisms and drug discovery. We propose a computational method for scoring gene mult...
Reproducibility of Results Biomedical Research Algorithms Genetic Association Studies Computational Biology Genetic Predisposition to Disease Protein Interaction Maps Genome, Human Humans Gene Ontology Proteins Evolution, Molecular PubMed
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Machine-learned analysis of the association of next-generation sequencing-based human TRPV1 and TRPA1 genotypes with the sensitivity to heat stimuli and topically applied capsaicin.

Pain Jul 1, 2018
Heat pain and its modulation by capsaicin varies among subjects in experimental and clinical settings. A plausible cause is a genetic component, of which TRPV1 ion channels, by their response to both heat and capsaicin, are primary candidates. Howeve...
Capsaicin TRPA1 Cation Channel Hot Temperature Genotype Pain Threshold High-Throughput Nucleotide Sequencing TRPV Cation Channels Humans Pain Genetic Association Studies Machine Learning
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A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018
A central challenge of developing and evaluating artificial intelligence and machine learning methods for regression and classification is access to data that illuminates the strengths and weaknesses of different methods. Open data plays an important...
Models, Genetic Heuristics Humans Databases, Genetic Computational Biology Stochastic Processes Algorithms Artificial Intelligence Computer Simulation Systems Biology Genetic Association Studies Machine Learning Software
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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...
Polymorphism, Single Nucleotide Data Interpretation, Statistical Humans Machine Learning Models, Statistical Risk Assessment Genetic Association Studies
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