Simple simulation of single-cell RNA sequencing data

🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Dirichlet Process based methods for subclonal reconstruction of tumours

MRtree R implementation

CHOIR : Clustering Hierarchy Optimization by Iterative Random forests (www.CHOIRclustering.com)

Gaussian mixture models in PyTorch.

cuML - RAPIDS Machine Learning Library

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

❗ This is a read-only mirror of the CRAN R package repository. mclust — Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation. Homepage: https://mclust-org.g…

A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments

R package implementation of Milo for testing for differential abundance in KNN graphs

Repository detailing updated allowlisting and clonal analysis workflow

Capybara: A computational tool to measure cell identity and fate transitions

Brutto-Netto-Gehaltsrechner: Open-Source-Repository zur Schätzung des Nettogehalts deutscher Angestellter des öffentlichen Dienstes. Enthält Source Code, Entgelttabellen, Stufenlaufzeittabellen, Zu…

Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

An R package for inferring the subclonal architecture of tumors

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

Methods for detecting doublets in single-cell sequencing data

Repository for Introduction to Data Science Book

machine-readable file format for genomic library sequence and structure

Visualise Clusterings at Different Resolutions

Fast, flexible and easy to use probabilistic modelling in Python.

Tools to process and analyze deep sequencing data.

Find, circularise and annotate mitogenome from PacBio assemblies

Making Protein folding accessible to all!