Abstract Background Although genes play a key role in many complex diseases, the specific genes involved in most complex diseases remain largely unidentified.Their discovery will hinge on the identification of key sequence variants that are conclusively associated with disease.While much attention has been focused on variants in protein-coding DNA,
Machine Learning Pipeline for Energy and Environmental Prediction in Cold Storage Facilities
As energy demands and costs rise, enhancing energy efficiency in Food and Drink Cold Storage (FDCS) rooms is important for reducing expenses and achieving environmental sustainability ambitions.Forecasting electricity use in FDCSs can help optimise operations and minimise energy consumption by enabling door opening frequency, maintenance, and resto
Computational Approaches to Facilitate Epitope-Based HLA Matching in Solid Organ Transplantation
Epitope-based HLA matching has been emerged over the last few years as an improved method for HLA matching in solid organ transplantation.The epitope-based matching concept has been incorporated in both the PIRCHE-II and the HLAMatchmaker algorithm to find the most suitable donor for a recipient.For these algorithms, high-resolution HLA genotype da