mellon 1.3.0

Non-parametric density estimator.

Mellon

Mellon is a non-parametric cell-state density estimator based on a nearest-neighbors-distance distribution. It uses a sparse gaussian process to produce a differntiable density function that can be evaluated out of sample.

Installation

To install Mellon using pip you can run:

pip install mellon

or to install using conda you can run:

conda install -c conda-forge mellon

or to install using mamba you can run:

mamba install -c conda-forge mellon

Documentation

Please read the documentation or use this basic tutorial notebook.

Basic Usage

import mellon
import numpy as np

X = np.random.rand(100, 10)  # 10-dimensional state representation for 100 cells
Y = np.random.rand(100, 10)  # arbitrary test data

model = mellon.DensityEstimator()
log_density_x = model.fit_predict(X)
log_density_y = model.predict(Y)