Welcome to DigitalCellSorter’s documentation!

Identification of hematological cell types from heterogeneous single cell RNA-seq data.

Polled Digital Cell Sorter (p-DCS): Automatic identification of hematological cell types from single cell RNA-sequencing clusters. Sergii Domanskyi, Anthony Szedlak, Nathaniel T Hawkins, Jiayin Wang, Giovanni Paternostro & Carlo Piermarocchi, BMC Bioinformatics volume 20, Article number: 369 (2019) https://doi.org/10.1186/s12859-019-2951-x

Contents:

• Overview
  • Publications
  • Description of the package functionality
  • Versions change log
• Getting Started
  • Installation
  • Loading the package
• User Functions
  • Primary tools
  • Extraction tools
  • Visualization tools
• Core class
• Visualization functions API
  • Cell type markers pie plot
  • Projection plot
  • Marker subplots
  • Quality control histogram plot
  • Histogram null distribution plot
  • Sankey diagram
  • Stacked bar plot
  • Annotation Results Matrix plot
  • Marker expression plot
  • t-test plot
  • Plot of new markers
• Generic functions
• Dependencies
• Data preparation
  • Output from kallisto-bustools (kp-python)
  • Output from CellRanger
  • Import from kallisto-bustools (kp-python)
  • Import from CellRanger
  • Function readMTXdata
  • Human Cell Atlas tools
• Input Data Format
• Demo

Indices and tables

• Index

• Module Index

• Search Page