Reverse Dependencies of mygene

The following projects have a declared dependency on mygene:

• AttentionMOI — A Denoised Multi-omics Integration Framework for Cancer Subtype Classification and Survival Prediction.
• Augusta — Python package for inference of the gene regulatory network and the boolean network using RNA-Seq data.
• besca — Collection of BEDA internal python functions for analysing single cell RNAseq data.
• bio — no summary
• cellmaps-imagedownloader — A tool to download specified image data from the Human Protein Atlas website using CSV file or to copy data from CM4AI dataset
• cellmaps-ppidownloader — A tool to download AP-MS data for Cell Maps pipeline
• cellplm — Package of CellPLM: A pretrain-ed cell language model beyond single cells. Paper link: https://www.biorxiv.org/content/10.1101/2023.10.03.560734
• deepsvp — DeepSVP: Integration of Genomics and Phenotypes forStructural Variant Prioritization using Deep Learning
• enrich-omics — Package to perform enrichment analysis in python using EnrichR and OpenTargets APIs
• fistnd — FIST-nD, Fast Imputation of Spatially-resolved transcriptomes by graph-regularized Tensor completion in n-Dimensions imputes 3D as well as 2D spatial transcriptomics data.
• genomepy — Genes and genomes at your fingertips
• geospace-st — GeoSpace method for identifying multiscale structure in spatial transcriptomic data
• gostrat — Tool to stratify GO terms based on first significant parent
• guiltytargets — A tool for ranking potential targets for a given disease
• kb-analysis — H1 human embryonic stem cells (hESCs) Data Analysis
• lifesci — This repo contains python3 life sciences utilities.
• mvp-module-library — A collection of modules for executing MVP Workflows
• naga-gwas — Network Assisted Genomic Association
• ndexutil — Unsupported NDEx utilities
• netcoloc — no summary
• neteval — Package for standardization and evaluation of biological networks
• obnb — A Python toolkit for biological network learning evaluation
• OmicsTools — no summary
• pbiotools — Miscellaneous bioinformatics and other supporting utilities for Python 3
• protein-folding-gym-utils — Package with Reinforcement Learning Environments for Protein Folding
• proteinTools — Lightweight, object-oriented backend bioinformatics package which simplifies interacting with proteins.
• pydisconet — analyzing the co-authorship network of researchers in the field of biology
• pygna — Geneset Network Analysis
• pyllars — This package contains supporting utilities for Python 3.
• pyNextGen — [UNSTABLE] A package of custom tools to tackle bioinformatic projects.
• quantmsio — Convert multiple files into quantms.io format
• repmsa — Finding the representetive seq in MSA
• RiboMetric — A python command-line utility for the generation of comprehensive reports on the quality of ribosome profiling (Ribo-Seq) datasets
• sc-var — An approch for interpreting disease-associated human variants using single-cell epigenomics
• scib-metrics — Accelerated and Python-only scIB metrics
• sctriangulate — A Python package to mix-and-match conflicting clustering results in single cell analysis, and generate reconciled clustering solutions.
• SNAF — A Python package to predict, prioritize and visualize splicing derived neoantigens, including MHC-bound peptides (T cell antigen) and altered surface protein (B cell antigen)