Bayesian Network (BN) modeling is a prominent and increasingly popular computational
systems biology method. It aims to construct network graphs from the large heterogeneous …

Translational efficiency change is an important mechanism for regulating protein synthesis.
Experiments with paired ribosome profiling (Ribo-seq) and mRNA-sequencing (RNA-seq) …

Converging evidence indicates that the heterogeneity of cognitive profiles may arise through
detectable alternations in brain functional connectivity. Despite an unprecedented …

To improve the statistical power for imaging biomarker detection, we propose a latent
variable-based statistical network analysis (LatentSNA) that combines brain functional …

The present study deals with modal work that is a type of framework for structural dynamic
testing of linear structures. Modal analysis is a powerful tool that works on the modal …

The integration of high-throughput genomic sequencing and advanced AI algorithms is
revolutionizing the fields of medicine and pharmaceuticals, particularly in the areas of …

Fully capturing cellular state requires examining genomic, epigenomic, transcriptomic,
proteomic, and other assays for a biological sample and comprehensive computational …

Customer relationship management (CRM) is a set of technologies, methods, and practices
that companies adopt to analyze and manage customer interactions and data throughout …

Biological systems are incredibly difficult to untangle. On a molecular level, biological
systems need to be analyzed by embracing high-dimensional genetic complexity in …

High-throughput sequencing data is now commonly available in the field of biomedical
sciences, enabling unparalleled prognostic modeling and understanding of biomarkers as …