MTGDC: A Multi-Scale Tensor Graph Diffusion Clustering for Single-Cell RNA Sequencing Data

Deep Learning and Machine Learning Applications in Biomedicine

“…DL efficiently extracts rich, compact features from noisy, heterogeneous, and high-dimensional scRNA-seq data, thus enhancing downstream analysis. Unsupervised learning, employed for data mining and pattern identification in unlabeled data, is widely applied in scRNA-seq for dimensionality reduction and cell clustering [16][17][18][19]. In scRNA-seq, a low RNA capture rate frequently leads to dropout issues.…”