Gene panel design for spatial transcriptomics with prioritized gene sets
Mashrur Ahmed Yafi, Md. Hasibul Husain Hisham, Francisco Grisanti, James F. Martin, Atif Hasan Rahman, Md. Abul Hassan Samee
This paper introduces scGIST, a deep learning method for designing spatial transcriptomics panels that prioritizes genes of interest while maintaining accuracy in cell type detection.
Genome biology · Feb 26, 2024Peer-reviewedBioinformatics