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@mcgilldinglab

McGill Ding Lab

Dr. Jun Ding's lab at McGill University

Popular repositories Loading

  1. CellAgentChat CellAgentChat Public

    Python agent-based model tool for inference, visualization and analysis of cell-cell communication from single-cell data

    Jupyter Notebook 19 4

  2. MATES MATES Public

    A Deep Learning-Based Model for Quantifying Transposable Elements in Single-Cell Sequencing Data

    Jupyter Notebook 16

  3. scSemiProfiler scSemiProfiler Public

    A computational method scSemiProfiler that provides affordable single-cell data for large-scale disease cohorts using deep generative model.

    Jupyter Notebook 14 2

  4. scCross scCross Public

    A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simulation of single-cell multi-omics data. Our model excels at m…

    Python 13 2

  5. UNAGI UNAGI Public

    Unagi: Deep Generative Model for Deciphering Cellular Dynamics and In-Silico Drug Discovery in Complex Diseases.

    Jupyter Notebook 10 2

  6. DENetwork DENetwork Public

    Unveiling Regulatory and Signaling Networks Behind Differentially-Expressed Genes

    Python 3

Repositories

Showing 10 of 19 repositories
  • MATES Public

    A Deep Learning-Based Model for Quantifying Transposable Elements in Single-Cell Sequencing Data

    mcgilldinglab/MATES’s past year of commit activity
    Jupyter Notebook 16 MIT 0 1 0 Updated Dec 4, 2024
  • UNAGI Public

    Unagi: Deep Generative Model for Deciphering Cellular Dynamics and In-Silico Drug Discovery in Complex Diseases.

    mcgilldinglab/UNAGI’s past year of commit activity
    Jupyter Notebook 10 2 0 0 Updated Dec 3, 2024
  • RAMEN Public
    mcgilldinglab/RAMEN’s past year of commit activity
    Python 0 MIT 0 1 0 Updated Dec 3, 2024
  • mcgilldinglab/CellSexID’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Dec 2, 2024
  • DOLPHIN Public

    Advancing Cell Representation Beyond Gene-Level by Integrating Exon-Level Quantification and Junction Reads with Deep Neural Networks.

    mcgilldinglab/DOLPHIN’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Dec 2, 2024
  • scTimeSelector Public

    scTimeSelector: optimal single-cell time series bulk selection

    mcgilldinglab/scTimeSelector’s past year of commit activity
    0 GPL-3.0 0 0 0 Updated Nov 30, 2024
  • SIDISH Public

    SIDISH: Semi-supervised Iterative Deep learning for Identifying Single-cell High-risk populations

    mcgilldinglab/SIDISH’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Nov 29, 2024
  • mcgilldinglab/scDOLPHIN’s past year of commit activity
    Python 0 0 0 0 Updated Nov 18, 2024
  • scCross Public

    A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simulation of single-cell multi-omics data. Our model excels at maintaining in-silico perturbations during cross-modality generation and harnessing these perturbations to identify key genes.

    mcgilldinglab/scCross’s past year of commit activity
    Python 13 MIT 2 1 0 Updated Nov 12, 2024
  • scSemiProfiler Public

    A computational method scSemiProfiler that provides affordable single-cell data for large-scale disease cohorts using deep generative model.

    mcgilldinglab/scSemiProfiler’s past year of commit activity
    Jupyter Notebook 14 2 0 0 Updated Oct 31, 2024

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