Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning models.
Ali CakmakHuzeyfe AyazSoykan ArikanAli Reza IbrahimzadaSeyda DemirkolDilara SönmezMehmet T. HakanSaime T. SürmenCem HorozogluMehmet B. DoganÖzlem KüçükhüseyinCanan CacinaBayram KiranÜmit ZeybekMehmet BaysanIlhan YaylimPublished in: Medical Biol. Eng. Comput. (2023)
Keyphrases
- learning models
- colorectal cancer
- learning algorithm
- machine learning
- single nucleotide polymorphisms
- semi supervised learning
- supervised learning
- learning tasks
- complex diseases
- machine learning algorithms
- semi supervised
- loss function
- unsupervised learning
- learning problems
- conditional random fields
- statistical methods
- genome wide
- gene expression
- data mining
- microarray data
- hidden markov models
- genetic algorithm
- human genome
- prior knowledge
- genome wide association studies
- genetic variation
- object recognition