Skip to content

Latest commit

 

History

History
17 lines (14 loc) · 810 Bytes

README.md

File metadata and controls

17 lines (14 loc) · 810 Bytes

Auto-encoder for data integration

Data

  • Seurat object from Challenge: Link
    • Swarbrick_metastatic_lymphnode.seurat.Rdata is the input of 0_Prepare_data.R
  • Data folder (Generated by me): Link
    • scProteomics.txt and scRNAseq.txt (output of 0_Prepare_data.R) are input of 1_Integrated_Data.ipynb
    • autoencoder_50dim_test.csv (output of 1_Integrated_Data.ipynb) is input of 2_Cite-seq_Analysis_R.R

Workflow

  • Step 1: 0_Prepare_data.R
  • Step 2: 1_Integrated_Data.ipynb
  • Step 3: 2_Cite-seq_Analysis_R.R

Requirement packages:

  • Python: pandas, numpy, keras
  • R: Seurat (v3), SingleR, tidyverse