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GEARS
GEARS PublicForked from snap-stanford/GEARS
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Python
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anndata-validation
anndata-validation PublicForked from chanzuckerberg/single-cell-curation
Code and documentation for the curation of cellxgene datasets
Python
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lazypredict
lazypredict PublicForked from shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Python
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cpa
cpa PublicForked from theislab/cpa
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of dr…
Python
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Repositories
- salmon Public Forked from COMBINE-lab/salmon
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
NewLimit/salmon’s past year of commit activity - cookiecutter-py-package Public template Forked from evamaxfield/cookiecutter-py-package
Simplified version of Eva Maxfield's cookie cutter package
NewLimit/cookiecutter-py-package’s past year of commit activity - vireo Public Forked from single-cell-genetics/vireo
Demultiplexing pooled scRNA-seq data with or without genotype reference
NewLimit/vireo’s past year of commit activity - cookiecutter_nlmt_experiment_csk Public Forked from NewLimit/cookiecutter-py-package
Cookiecutter template for nlmt_experiment analysis
NewLimit/cookiecutter_nlmt_experiment_csk’s past year of commit activity - cpa Public Forked from theislab/cpa
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
NewLimit/cpa’s past year of commit activity - Shepherd Public Forked from Nik-Tavakolian/Shepherd
Shepherd: accurate clustering for correcting DNA barcode errors: https://doi.org/10.1093/bioinformatics/btac395
NewLimit/Shepherd’s past year of commit activity - lazypredict Public Forked from shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
NewLimit/lazypredict’s past year of commit activity - scCODA Public Forked from theislab/scCODA
A Bayesian model for compositional single-cell data analysis
NewLimit/scCODA’s past year of commit activity
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