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Volker Bergen's Projects

awesome-single-cell icon awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

convertx icon convertx

word-to-html/json (for the EnduringWord commentary)

csama icon csama

Course material for CSAMA: Statistical Data Analysis for Genome Scale Biology

curved-quivers icon curved-quivers

Matplotlib function to represent a vector field with path-following arrows

docs icon docs

PrestaShop technical documentation

gammapy icon gammapy

A Python package for gamma-ray astronomy

jira icon jira

Python JIRA Library is the easiest way to automate JIRA. Support for py27 was dropped on 2019-10-14, do not raise bugs related to it. Show that you care about the future of the library by donating $1, is not about the money!

knowledge-repo icon knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

loompy icon loompy

Python implementation of the Loom file format - http://loompy.org

magic icon magic

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

mlbox icon mlbox

MLBox is a powerful Automated Machine Learning python library.

mnnpy icon mnnpy

An implementation of MNN (Mutual Nearest Neighbors) correct in python.

modal icon modal

A modular active learning framework for Python3

nbsphinx icon nbsphinx

:ledger: Sphinx source parser for Jupyter notebooks

numpy icon numpy

The fundamental package for scientific computing with Python.

pepy icon pepy

pepy is a site to get statistics information about any Python package.

population-diffusions icon population-diffusions

Code and paper repository for the ICML paper "Learning population level diffusions with generative recurrent networks"

scanpy icon scanpy

Single-Cell Analysis in Python. Scales to >1M cells.

scvelo icon scvelo

RNA Velocity generalized through dynamical modeling

single-cell-tutorial icon single-cell-tutorial

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

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