Tools for clustering and trajectory inference in large-scale genomic datasets (RNA-seq, ATAC-seq) using unsupervised deep learning. Implements a Variational Recurrent Neural Network (VRNN) for modeling single-cell time-series gene expression and chromatin accessibility.
machine-learning bioinformatics rna-seq clustering gene-expression bioinformatics-pipeline atac-seq unsupervised-learning single-cell nerual-network trajectory-inference macrophages unsupervised-genomics
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Updated
Sep 14, 2025 - Python