Welcome to SCIV’s documentation!

SCIV: Unveiling the pivotal cell types involved in variant function regulation at a single-cell resolution.

We propose SCIV, a method integrating cell cluster-type correction with a weighted seed-based random walk. By eliminating substantial noise from seed cells, SCIV enables the efficient enrichment of causal mutations within cells of interest.

Contents

• 1. SCIV usage
  • 1.1 Install
  • 1.2 SCIV execution process
    • 1.2.1 Download scATAC-seq sample data
    • 1.2.2 Download trait example data
    • 1.2.3 Run SCIV
• 2. SCIV API
  • Download (.dl)
  • File (.fl)
  • Model (.ml)
  • Plot (.pl)
    • Graph
    • Heatmap
    • Scatter
    • Violin
    • Box
    • KDE
    • Line
    • Bar
    • Barcode
    • Pie
    • Bubble
    • Radar
    • Venn
  • Preprocessing (.pp)
  • Tool (.tl)
    • Algorithm
    • Random Walk
    • Matrix
  • Util (.ul)