New tool decodes complex, single-cell genomic data

Unlocking biological information from complex single-cell genomic data has just become easier and more precise, thanks to the innovative scLENS tool developed by the Biomedical Mathematics Group within the IBS Center for Mathematical and Computational Sciences led by Chief Investigator Kim Jae Kyoung, who is also a Professor at KAIST. This represents a significant leap forward in the field of single-cell transcriptomics.