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1. scDGCN scDGCN Public

   scDGCN: a novel learning framework for deep structured clustering of single-cell sequencing data.

   Python

2. CodaST CodaST Public

   A Consistency-Oriented Dual-Contrastive Analytic Model for Spatial Transcriptomics

   Python 1

3. GeneKAN GeneKAN Public

   A Gene Regulatory Network Inference Method Based on Multiscale KAN-Enhanced Graph Convolutional Kernels

   Python

4. scIMGCN scIMGCN Public

   An interpretable, GCN-based cell-type annotation method for single-cell data, offering researchers a deep learning solution for single-cell annotation.

   Python

5. Kalstra Kalstra Public

   A Novel Hybrid Architecture Integrating KAN and Sequential-Transformer for Robust Cell Type Annotation in Cross-Species Transcriptomics

   Python

6. scGRAIL scGRAIL Public

   A Graph Regulatory Asymmetric Inductive Learning Model for Transcriptional Network Prediction in Single-Cell Omics

   Python