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Introduction:

  • Introduction

Getting started

  • Installation
  • Tutorial 1: Data handling
  • Tutorial 2: Pixel map integration
  • Tutorial 3: Scanpy and AnnData integration
  • Tutorial 4: Exploratory analysis
  • Tutorial 5: Statistical modeling

User guide:

  • The SpatialData object:
  • The PixelMap object
  • The SpatialStatistics object
  • Next Neighbor analysis and spatial contexts:
  • Integrating scanpy/Anndata

Modules:

  • plankton
plankton.py
  • Welcome to plankton!
  • Edit on GitHub

Welcome to plankton!

a python-based point process analysis package.

Plankton is a python package created to make data handling and analysis of point process data as easy as possible.

CA1 analysis _images/plankton-only.svg

Introduction:

  • Introduction
    • What are point processes?

Getting started

  • Installation
  • Tutorial 1: Data handling
    • Data Preparation
    • Creating a SpatialData object
    • Counts & statistics
    • Basic visualization
    • Spatial or not: Data Indexing
  • Tutorial 2: Pixel map integration
    • Pixel maps as a plotting background
    • Parsing pixel map data
  • Tutorial 3: Scanpy and AnnData integration
  • Tutorial 4: Exploratory analysis
    • Recurring spatial contexts
  • Tutorial 5: Statistical modeling

User guide:

  • The SpatialData object:
  • The PixelMap object
  • The SpatialStatistics object
  • Next Neighbor analysis and spatial contexts:
  • Integrating scanpy/Anndata

Modules:

  • plankton
    • plankton package
      • Submodules
      • plankton.graph module
      • plankton.pixelmaps module
      • plankton.plankton module
      • plankton.stats module
      • plankton.utils module
      • Module contents

Indices and tables

  • Index

  • Module Index

  • Search Page

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© Copyright 2022, Sebastian Tiesmeyer. Revision 3c840eac.

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