Next-generation statistical simulator gives medical and biological researchers a benchmarking tool capable of closely mimicking single-cell and spatial genomics data
UCLA researchers have developed an “all-in-one,” next-generation statistical simulator capable of assimilating a wide range of information to generate realistic synthetic data and provide a benchmarking tool for medical and biological researchers who use advanced technologies to study diseases and potential therapies. Specifically, the new computer-modeling – or “in silico” – system can help researchers evaluate and validate computational methods.
Single-cell RNA sequencing, called single-cell transcriptomics, is the foundation for analyzing genetic makeup (genome-wide gene ...













