Author

Pascal N. Timshel

Statens Serum InstitutORCID 0000-0002-0352-4323Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:GWAS summary statistics· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Tune H. PersiD· 4 shared Juan R. GonzáleziD· 2 shared Aaron Kleinman· 1 shared Aaron LeongiD· 1 shared Abdel AbdellaouiiD· 1 shared Abraham A. PalmeriD· 1 shared Adam AutoniD· 1 shared Albert Hofman DiD· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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4 shared papersGenetics

Tune H. PersORCID

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4 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedMay 12, 2020

scVAE: Variational auto-encoders for single-cell gene expression data

Christopher Heje Grønbech, Maximillian Fornitz Vording, Pascal N. Timshel…·Ole Winther

scVAE is a variational auto-encoder for scRNA-seq data that avoids preprocessing and improves clustering by using raw counts and latent space clustering.

282 citationstop 1%

scRNA-seqvariational autoencoder

GeneticsbioRxivPreprintJan 27, 2020

Mapping heritability of obesity by brain cell types

Pascal N. Timshel, Jonatan J. Thompson, Tune H. Pers

The paper integrates scRNA-seq data with BMI GWAS to identify neuronal cell types enriched for BMI heritability and replicate known obesity-related cell types.

4 citations

mousescRNA-seq

GeneticsbioRxivPreprintJan 8, 2019

Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

Richard Karlsson Linnér, Pietro Biroli, Edward L. Kong…·Jonathan P. Beauchamp

GWAS in over one million individuals identify 611 loci across risk tolerance and risky behaviors, revealing shared genetic architecture and implicating glutamatergic and GABAergic neurotransmission.

82 citations

humanGWAS summary statistics

GeneticsNature CommunicationsPeer-reviewedJan 16, 2018

A Comprehensive Reanalysis Of Publicly Available GWAS Datasets Reveals An X Chromosome Rare Regulatory Variant Associated With High Risk For Type 2 Diabetes.

Sílvia Bonàs‐Guarch, Marta Guindo-Martínez, Irene Miguel-Escalada…·David Torrents

The paper reanalyzes T2D GWAS data to identify a rare X chromosome variant associated with increased T2D risk in males.

129 citationstop 1%

humanGWAS summary statistics