DTractor enhances cell type deconvolution in spatial transcriptomics by integrating deep neural networks, transfer learning, and matrix factorization
Yong Jin Kweon, Chenyu Liu, Gregory J. Fonseca, Jun Ding
DTractor improves cell-type deconvolution in spatial transcriptomics by integrating deep learning, transfer learning, and matrix factorization to better estimate cell-type proportions and gene expression with spatial coherence.
bioRxiv · Apr 12, 2025 · PreprintBioinformatics