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Obesity Manuscript analysis

Workflow and Methods

Workflow

Notebooks replicating the figures in Obesity manuscript

  • ipynb/process_10x-cellbender.ipynb

    • pre-process and cluster:
  • ipynb/marker_dotplots.ipynb

    • cell type markers dot plot
  • ipynb/stb_recluster.py

    • Syncytialtrophoblast states, downstream analysis and visualization
  • ipynb/merge_annotation.ipynb

    • Merge cell type and states annotation:
  • ipynb/scCODA.ipynb

    • Cell type propotional test
  • ipynb/celltype_general_stats.ipynb

    • Cell type propotional visualization
  • ipynb/venn.ipynb

    • draw venn diagram:
  • ipynb/score_lineplot.ipynb

    • C-score line plot
  • ipynb/decouple_bp_hallmark.ipynb

    • GSEA analysis
    • Rmd/adjust_gsea.Rmd: adjust p-values by BH method
  • ipynb/dotplots pathway genes.ipynb

    • Dotplots of the genes involved in given pathways
  • ipynb/pie.ipynb

    • Pie plots
  • ipynb/de_liana.ipynb

    • generate the adjency matrix
    • ipynb/network_rl.ipynb: network analysis
  • Rmd/Primeseq/*

    • downstream analysis of Primeseq data from trophoblast organoids
    • Rmd/intersect_TO_tissue.Rmd: intersect of all sets
  • ipynb/venn.ipynb

    • Venn: draw venn diagram