Ensemble positive unlabeled learning for disease gene identification

• Main Authors: Yang P., Li X., Chua H.-N., Kwoh C.-K., Ng S.-K.
• Other Authors: DEPARTMENT OF COMPUTER SCIENCE
• Format: Article
• Published: 2019
• Subjects: article; cardiovascular disease; classification algorithm; comparative study; endocrine disease; ensemble positive unlabeled learning; eye disease; gene expression; gene identification; gene ontology; genetic similarity; genotype phenotype correlation; learning algorithm; machine learning; measurement accuracy; metabolic disorder; neoplasm; neurologic disease; prediction; protein interaction; sensitivity analysis; algorithm; artificial intelligence; biological model; biology; evaluation study; gene regulatory network; genetic association; genetic disorder; genetics; human; phenotype; procedures; selection bias; trends; Algorithms; Artificial Intelligence; Computational Biology; Gene Ontology; Gene Regulatory Networks; Genetic Association Studies; Genetic Diseases, Inborn; Humans; Models, Genetic; Phenotype; Selection Bias
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/161412
• Institution: National University of Singapore

10.1371/journal.pone.0097079