Tutorial

• Stage 1: Model Construst
  • Data prepare
  • Training Data split
  • Model save
• Stage 2: Latent time predicted by scLTNN (Panceras)
  • Load the data
  • Preprocess the Data
  • Calculate the latent semantic index (lsi)
  • Visualize the celltype
  • Init the scLTNN model
  • Calculate the PAGA
  • Calculate the pre-model time
  • Calculate the expression-related gene value
  • Trainning the ANN model
  • Calculate the distribution of PAGA graph and ANN model
  • Calculate the LTNN time
  • Visualization
  • Find the related-gene of LTNN_time
  • Visualize the origin and Tesmination cell
  • Visualize the trajectory by LTNN time