Computational Intelligence in Bioinformatics: SNP/Haplotype Data in Genetic Association Study for Common Diseases
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- Type
- review
- Published
- 2009-09-01
- Cited by
- 17
- References
- 77
- OpenAlex
- https://openalex.org/W2154566918
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16420062
Keywords
International HapMap Project, Tag SNP, Haplotype, Single-nucleotide polymorphism, SNP
References
- A survey of data mining methods for linkage disequilibrium mapping
- Temporal gene expression classification with regularised neural network
- Can Machine Think
- Evolutionary Computation In Bioinformatics
- Ambient Intelligence, Wireless Networking, And Ubiquitous Computing
- Evolutionary algorithms for the selection of single nucleotide polymorphisms
- A survey of current Bayesian gene mapping method
- The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases
- Detecting Disease Associations due to Linkage Disequilibrium Using Haplotype Tags: A Class of Tests and the Determinants of Statistical Power
- Model-Based Inference of Haplotype Block Variation
- The complex interplay among factors that influence allelic association
- Haplotype block structure and its applications to association studies: power and study designs.
- Chromosome-wide distribution of haplotype blocks and the role of recombination hot spots
- Epistatic interactions: how strong in disease and evolution?
- Bayesian Spatial Modeling of Haplotype Associations
- Principal component analysis for selection of optimal SNP‐sets that capture intragenic genetic variation
- Gene–environment interactions in human diseases
- Powerful multilocus tests of genetic association in the presence of gene-gene and gene-environment interactions.
- Machine Learning for Detecting Gene-Gene Interactions
- Computational intelligence in telecommunications networks
Cited by
- Domain Altering SNPs in the Human Proteome and Their Impact on Signaling Pathways
- Mining Frequent Patterns for Genetic Variants Associated to Diabetes
- Towards Mining Frequent Patterns in Genome Wide Association
- Applying rule classifiers in predicting trait from genetic variants
- A Novel Method to Select Informative SNPs and Their Application in Genetic Association Studies
- Advances in human cytochrome p450 and personalized medicine.
- Allelic variation in Salmonella: an underappreciated driver of adaptation and virulence
- A brief survey on GWAS and ML algorithms
- Bayesian optimization algorithm-based methods searching for risk/protective factors
- Multiple ant colony algorithm method for selecting tag SNPs
- Weighted Frequent Itemset of SNPs in Genome Wide Studies
- A Study on Frequent Itemset Mining for Identifying Associated Multiple SNPs
- An Ideology for the Prediction of Critical Haplotype Blocks of Variants in Genes (Cyp2c9 And Vkorc1) for Warfarin (Anticoagulant) Drug Dosage to Treat Heart Patients Efficiently by Using Ml (Machine Learning) and Data Stream Mining Techniques
- Functional polymorphisms and transcriptional analysis in the 5′ region of the human serotonin receptor 1B gene (HTR1B) and their associations with psychiatric disorders
- Research on Optimization of Food Industry Processing Process Based on Computational Intelligence
- Big Data Science and Its Applications in Health and Medical Research: Challenges and Opportunities
- Functional polymorphisms and transcriptional analysis in the 5' region of the human serotonin receptor 1B gene (HTR1B) and their associations with psychiatric disorders
- Functional polymorphisms and transcriptional analysis in the 5' region of the human serotonin receptor 1B gene (HTR1B) and their associations with psychiatric disorders
- Towards Applying Associative Classifier for Genetic Variants
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