scHiCyclePred: a deep learning framework for predicting cell cycle phases from single-cell Hi-C data using multi-scale interaction information
Overview of scHiCyclePred The deep learning-based framework of scHiCyclePred consists of two crucial steps: the extraction of multiple feature sets and a CNN model based on multi-feature fusion (Fig. 1). The former extracts features of chromatin’s three-dimensional structure from the scHi-C data based on multi-scale interaction information. This step involves extracting the following feature sets: (1) […]
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