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ZENODO
Dataset . 2023
License: CC BY NC ND
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY NC ND
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY NC ND
Data sources: Datacite
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Claim

Models and Data associated with: Single-cell gene expression prediction from DNA sequence at large contexts

Research datakeyboard_double_arrow_right Dataset 08 Sep 2023 English Publisher:Zenodo
Authors: Schwessinger, Ron; Deasy, Jacob; Woodruff, Rob; Young, Stephen; Branson, Kim;

doi: 10.5281/zenodo.8314644 , 10.5281/zenodo.8314643

Models and Data associated with: Single-cell gene expression prediction from DNA sequence at large contexts

Abstract

This archive holds trained models and associated data for the manuscript: "Single-cell gene expression prediction from DNA sequence at large contexts" Structure: configs - example configs for the workflows to produce publication data data_* - pre-processed single cell data used for publication models_* - model checkpoints, hyperparameters and training progress in tensorboard logs preprocessing - additional data required to reproduce the pre-processing workflow "Copyright 2023 GlaxoSmithKline Research & Development Limited. All rights reserved."

Keywords

Machine Learning, Genomics

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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14