Open access
Aug 2026
iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data.
iDCF (Interpretable Deconvolution of Cell Fractions) is a novel framework that enforces biological topology onto deep neural networks, bridging the gap between computational inference and biological intuition.
Hongming Guo, Tingfang Wu, Wen-Zheng Wang et al.
· PLoS Computational Biology · 0 citations