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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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[DEPRECATED] Theislab sfaira Model Repository

Research datakeyboard_double_arrow_right Dataset 03 Dec 2020Publisher:Zenodo
Authors: *Dony, Leander; *Fischer, David S.; Theis, Fabian J.;

doi: 10.5281/zenodo.4304659 , 10.5281/zenodo.4304660

[DEPRECATED] Theislab sfaira Model Repository

Abstract

THIS WEIGHTS REPOSITORY IS NO LONGER COMPATIBLE WITH THE CURRENT VERSION OF SFAIRA. PLEASE FIND THE LATEST VERSION HERE: https://doi.org/10.5281/zenodo.4836516 This is the official model weights repository provided with the sfaira python package. sfaira is a data and model zoo for single-cell RNA-seq data developed in the group of Prof. Fabian Theis at Helmholtz Munich. * = These authors contributed equally.

Related Organizations
Keywords

single-cell genomics, scRNA-seq, bioinformatics, transfer learning, data repository, single-cell RNA sequencing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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