Projects: pypi: scvi-tools
https://packages.ecosyste.ms/registries/pypi.org/packages/scvi-tools
Deep probabilistic analysis of single-cell omics data.
70 versions
Latest release: over 2 years ago
29 dependent packages
15,317 downloads last month
Enhanced Analysis
Educational Contributors:
gx2113@columbia.edu
romain_lopez@berkeley.edu
ori.kronfeld@weizmann.ac.il
jjhong922@berkeley.edu
maxime.langevin@polytechnique.edu
vitalii.kleshchevnikov@sanger.ac.uk
lyining@berkeley.edu
mjayasur@berkeley.edu
kathywu@berkeley.edu
munfred@brandeis.edu
martinkim@berkeley.edu
Repository Activity:
Repository Owner:
scverse (organization)
Foundational tools for omics data in the life sciences Institutional
Foundational tools for omics data in the life sciences Institutional
README Analysis:
DOI Found
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+220
Educational commit emails
11 contributors with educational email addresses -
+15
Institutional repository owner
Repository owned by research institution -
+12
Science terms in README
6 scientific terms found in README -
+10
DOI references
1 DOI references found in README
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (100)
Papers Mentioning scvi-tools 1
10.1186/s13059-021-02313-2
Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalitiesCited by: 19
Author(s): Rohit Singh, Brian Hie, Ashwin Narayan, Bonnie Berger
Software Mentions: 5
Published: about 5 years ago