Welcome to memento’s documentation!

memento is a python package for performing differential mean, variability, and correlation in single-cell RNA sequencing data. Our paper can be found at “Method of moments framework for differential expression analysis of single-cell RNA sequencing data.”

Some current limitations include: - continous covariates, such as cell state variables - non-linear representations of covariates

Installation

Make sure you have a version of scanpy > 1.3. Almost any version should work with memento. Visit the scanpy website to install the latest version of scanpy.

To install memento, run:

pip install memento-de

User guide & tutorial:

• Usage guide
  • Simple binary
  • Binary testing with replicates
  • Testing with covariates and between sample variability

About memento:

• Estimators
  • Mean
  • Variability
  • Correlation
• Inference procedures
  • Quantifying within-sample heterogeneity
  • Quantifying between-sample heterogeneity

API Reference:

• memento.main module
• memento.wrappers module

Indices and tables

• Index

• Module Index

• Search Page