Genome wide association studies are enriched for interacting genes
Learning the Therapeutic Targets of Acute Myeloid Leukemia through Multiscale Human Interactome Network and Community Analysis
Assessing the Limitations of Relief-Based Algorithms in Detecting Higher-Order Interactions
Decoding the Genetic Comorbidity Network of Alzheimer's Disease
Development and Optimization of Machine Learning Algorithms for Predicting In-hospital Patient Charges for Congestive Heart Failure Exacerbations, Chronic Obstructive Pulmonary Disease Exacerbations and Diabetic Ketoacidosis
Understanding predictions of drug effectiveness using explainable Machine Learning models
Distinct Network Patterns Emerge from Cartesian and XOR Epistasis Models: A Comparative Network Science Analysis
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability
EnSCAN: ENsemble Scoring for prioritizing CAusative variaNts across multi-platform GWAS for Late-Onset Alzheimer's Disease
Identifying heterogeneous subgroups of systemic autoimmune diseases by applying a joint dimension reduction and clustering approach to immunomarkers