Upgraded ‘Mind Reading’ in the Cellular World! MultiKano: A Data Augmentation Method Based on Cutting-Edge Mathematics and AI to Decode Single-Cell Multi-Omics Identity Codes
Sharing an article co-authored by Associate Professor Chen Shengquan from Nankai University and Associate Professor Yang Qingzhu from the Capital University of Physical Education and Sports, published in the journal Protein & Cell. The title is “Development of MultiKano: An Automated Cell Type Annotation Tool Based on Kolmogorov-Arnold Networks and Data Augmentation for Cell Type … Read more