KODAMA enables self-guided weakly supervised learning in spatial transcriptomics
Ebtesam A. Abdel-Shafy, Moussa Kassim, Alessia Vignoli, Farag Mamdouh, Svitlana Tyekucheva, Dalia Ahmed, Dupe Ojo, Brendon Price, Fabio Socciarelli, Nancy Paola Duarte-Delgado, Martin Ocharo, Chiamaka Jessica Okeke, Luca Triboli, David A. MacIntyre, Massimo F. Loda, , Stefano Cacciatore
KODAMA improves spatial transcriptomics analysis by reducing dimensionality while preserving spatial information, showing high accuracy across multiple datasets.
bioRxiv · May 28, 2025 · PreprintBioinformatics