Interpreting the effects of genetic variants is key to understanding individual susceptibility to
disease and designing personalized therapeutic approaches. Modern experimental …

Machine learning algorithms trained to predict the regulatory activity of nucleic acid
sequences have revealed principles of gene regulation and guided genetic variation …

Ensemble learning aggregates outputs from multiple base learners for better performance.
Bootstrap aggregating (bagging) and boosting are two popular such approaches. They are …

HPVs are DNA viruses include approximately 450 types that are classified into 5 genera (α-,
β-, γ-, μ-, and ν-HPV). The γ-and β-HPVs are present in low copy numbers in healthy …

We assess contributions to autoimmune disease of genes whose regulation is driven by
enhancer regions (enhancer-related) and genes that regulate other genes in trans …

Bootstrap aggregating (Bagging) and boosting are two popular ensemble learning
approaches, which combine multiple base learners to generate a composite model for more …

Orofacial cleft (OFC) is a common human congenital anomaly. Epithelial-specific RNA
splicing regulators ESRP1 and ESRP2 regulate craniofacial morphogenesis and their …

Methods that analyze single-cell paired RNA-seq and ATAC-seq multiome data have shown
great promise in linking regulatory elements to genes. However, existing methods differ in …

Gene regulation is known to play a fundamental role in human disease, but mechanisms of
regulation vary greatly across genes. Here, we explore the contributions to disease of two …

Background Mendelian randomization (MR) leverages genetic variants as instrumental
variables to determine causal relationships in epidemiology. However, challenges persist …