Reverse Dependencies of gseapy

The following projects have a declared dependency on gseapy:

• bionetcomp — BioNetComp: A Python package for biological network comparison from STRING database.
• Broad-GenePy — A useful module for any CompBio
• cansig — Discovering de novo shared transcriptional programs in single cancer cells
• cell2cell — TBD
• clep — A Hybrid Data and Knowledge Driven Framework for Generating Patient Representations
• cospar — CoSpar: integrating state and lineage information for dynamic inference
• dpks — Data processing package for the analysis of omics data
• dynamo-release — Mapping Vector Field of Single Cells
• exoTras — exosome-containing droplet identification and source tracking in scRNA-seq data
• genes2genes — A tool for aligning gene expression trajectories of single-cell reference and query systems
• grnndata — Awesome gene regulatory network enhanced anndata
• JKBio — A useful module for any CompBio
• MultiGATE — MultiGATE single cell
• multimodal-cci — A Python package for processing multi-modal CCI data
• nico-sc-sp — This package finds covariation patterns between interacted niche cell types from single-cell resolution spatial transcriptomics data.
• omicverse — OmicVerse: A single pipeline for exploring the entire transcriptome universe
• PanClassif — A method to improve TCGA pancancer classifiers performance
• proteomics-downstream-analysis — A package for downstream data analysis of proteomics data
• pygenricher — no summary
• Pyomic — A python framework library for omics analysis
• ReadyCellOne — Computational tools to enable task-centric cell engineering
• scatrex — Map single-cell transcriptomes to copy number evolutionary trees.
• scdef — Extract hierarchical signatures of cell state from single-cell data.
• scpca — Single-cell PCA.
• scTM — A toolbox for single cell topic models
• scToolsGW — convenience wrappers around common scanpy functions and workflows
• sctriangulate — A Python package to mix-and-match conflicting clustering results in single cell analysis, and generate reconciled clustering solutions.
• sequana — A set of standalone application and pipelines dedicated to NGS analysis
• SEVtras — sEV-containing droplet identification in scRNA-seq data
• siVAE — scalable and interpretable Variational Autoencoder
• SpaGFT — SpaGFT is a python package to analyze spatial transcriptomics. It was designed to identify spatially variable genes, detect tissue modules, enhance gene expression.
• spider-st — Identifying spatially variable interactions
• spiderYa — Identifying spatially variable interactions
• tapir-rna — Transcriptional Analysis in Python Imported from R
• TiRank — A comprehensive analysis tool for transfering phenotype of bulk transcritomic data to single cell or spatial transcriptomic data.
• topicpy — Package to extract information from topic models.