Machine Learning Approach for Single Nucleotide Polymorphism Selection in Genetic Testing Results.
Joko Pebrianto TrinugrohoAlam Ahmad HidayatMahmud IsnanBens PardameanPublished in: ICCSCI (2023)
Keyphrases
- machine learning
- human genome
- single nucleotide polymorphisms
- complex diseases
- copy number
- genome wide
- statistical methods
- dna sequences
- high throughput
- computational approaches
- statistical tests
- learning algorithm
- genetic linkage
- association studies
- genetic variation
- machine learning algorithms
- feature selection
- machine learning methods
- genomic data
- data analysis
- highly correlated
- variable selection
- statistical models
- high speed
- support vector machine
- linkage analysis
- decision trees
- linkage disequilibrium
- genotype phenotype