scCross
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Contents:

  • Installation guide
  • Tutorials
    • Matched mouse cortex data expeirment
  • API documentation
  • Release notes
scCross
  • Tutorials
  • Edit on GitHub

Tutorials¶

We will show you the main functions of sccross with the matched mouse cortex dataset experiments.

  • Matched mouse cortex data expeirment
    • Step 1: Data preprocessing
      • Preprocess scRNA-seq data
      • Preprocess scATAC-seq data
      • Prepare atac data’s gene activity score
      • Save preprocessed data files
    • Step2: Model traning
      • Config dataset
      • Config MNN prior
      • Train model
    • Step3: Single cell multi-omics integration
    • Step4: Single cell multi-omics cross modality generation
    • Step5: Single cell omics data self augmentation
    • Step6: Single cell multi-omics matched simulation
    • Step7: Single cell multi-omics in-silico perturbation
      • Identify genes’ differential expression between cell clusters with in-silico perturbation
      • Maintain in-silico perturbation while cross generation
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© Copyright Hao Wu Lab and Jun Ding Lab, 2023. Revision 513dfb7d.

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