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CompleX Group Interactions (XGI) is a Python package for higher-order networks.
Fast, flexible and easy to use probabilistic modelling in Python.
Co-accessibility network from ATAC-seq data. Python code, based on Cicero package (R).
Tool for plotting sequencing data along genomic coordinates.
STUMPY is a powerful and scalable Python library for modern time series analysis
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
HGX is a multi-purpose, open-source Python library for higher-order network analysis
Formalizing and benchmarking open problems in single-cell genomics
🔬 Path to a free self-taught education in Bioinformatics!
Haplotype-aware CNV analysis from single-cell RNA-seq
Efficient genotyping bi-allelic SNPs on single cells
Elenco quotidiano dei risultati ASN
Python implementation of Milo for differential abundance testing on KNN graph
A set of Pyro models and functions to infer CNA from scRNA-seq data
materials for learing various stuff by doing them myself
Laplacian Renormalization Group for heterogeneous networks
A high-performance, zero-overhead, extensible Python compiler using LLVM
An interface for Nested Stochastic Block Model for single cell analysis
Python package for detecting core-periphery structure in networks.
Module to detect mesoscale structures (community, core-periphery, bipartite) on Graphs and Multigraphs using surprise.
Multi-level network clustering based on the Map Equation