Disease candidate genes prediction using positive labeled and unlabeled instances.

Abstract excerpt

Identifying disease genes and understanding their performance is critical in producing drugs for genetic diseases. Nowadays, laboratory approaches are not only used for disease gene identification but also using computational approaches like machine learning are becoming considerable for this purpose. In machine learning methods, researchers can only use two data types (disease genes and unknown genes) to predict...

Topics

• Humans
• Computational Biology
• Machine Learning
• Genetic Predisposition to Disease
• Genetic Association Studies
• Algorithms
• Disease