3d_OT

Contents:

  • Installation
  • Installation via Github
  • Jupyter Tutorial
  • Single Omics Spatial Domain Identification
  • Multi Omics spatial domain identification
  • Single Omics alignment
  • Mouse brain p(22) alignment
    • Single-Omics alignment of mouse brain of H3K27ac+RNA with ATAC+RNAmouse brain
    • Alignment tutorial for Multimodal alignment
  • 3D reconstruction
  • Cross_platform
3d_OT
  • Mouse brain p(22) alignment
  • View page source

Mouse brain p(22) alignment

  • Single-Omics alignment of mouse brain of H3K27ac+RNA with ATAC+RNAmouse brain
    • Loading package
    • Loading and Pre-processing two slices
    • Constructing neighbor graph and training the Pointnet++Encoder
    • Training the optimal transport module
    • Target align slice truth
    • source align slice truth
    • Visualize and quantify the evaluation of seven region alignment results
  • Alignment tutorial for Multimodal alignment
    • Loading package
    • We use multimodal clustering results as annotation information for aligned slices
    • Loading data
    • Pre-processing data
    • Constructing the ATAC+RNA neighbor graph1 and training the PointNet++ Encoder
    • Constructing the H3K27ac+RNA neighbor graph2 and training the PointNet++ Encoder
    • Pretrained encoder and graph structure loading into multimodal alignment module
    • Annotation information of alignment slices and visualization of multimodal alignment results
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