Genes2Genes
importedsoftware/genes2genes
Aligning gene expression trajectories of single-cell reference and query systems
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- Teichlab
- Country
- unknown
- Homepage
- teichlab.github.io/Genes2Genes/
- Repository
- github.com/Teichlab/Genes2Genes
- Documentation
- unknown
- Tags
- bayesian-inference · dynamic-programming · human-cell-atlas · minimum-message-length · pseudotime-trajectory · python · scrna-seq · single-cell
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- scarcheshuman-cell-atlas · scrna-seq
Reference mapping for single-cell genomics
- scAlignhuman-cell-atlas · scrna-seq · single-cell
A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
- BITFAMbayesian-inference · scrna-seq · single-cell
BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021)…
- SCICoNEbayesian-inference · single-cell
Single-cell copy number calling and event history reconstruction.
- sisuabayesian-inference · single-cell
SemI-SUpervised generative Autoencoder models for single cell data
- tidetreebayesian-inference · single-cell
A Bayesian phylogenetic framework to estimate single-cell trees and population dynamic parameters from genetic lineage tracing data
- api.github.com/repos/Teichlab/Genes2Genesretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-28, 90 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/29.json→ .entries["genes2genes"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.