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Geng Li

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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. · 0 citations