Biostatistics and Medical Informatics Department Seminar with Wenjin Jim Zheng, University of Texas Houston

Single-cell RAN sequencing has transformed our ability to identify diverse cell types and their transcriptomic signatures. However, annotating these signatures remains a major challenge, espeially those involving poorly characterized genes. Dr. Zheng will present a novel approach that integrates free-text descriptions with ontology labels for more accurate and robust gene set generation. This method correctly annotates over 68% of gene sets within the top five predictions.