Author

Christophe Van Neste

Ghent UniversityORCID 0000-0002-5958-5731Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:multiome· 1

Frequent Co-Authors

Aakansha RaiiD· 1 shared Ádám Misák· 1 shared Akash Gosain· 1 shared Alexander Wu· 1 shared Alice DriesseniD· 1 shared Alidivinas Prusokas· 1 shared Anand Rajasekar· 1 shared Anjali DhalliD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aakansha RaiORCID

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2 papers

Recent·Most cited

BioinformaticsMolecular Systems BiologyPeer-reviewedOct 1, 2021

Cell-to-cell and type-to-type heterogeneity of signaling networks: Insights from the crowd

Attila Gábor, Marco Tognetti, Alice Driessen…·Mingyu Lee

The paper organizes a DREAM challenge to benchmark predictive models of single-cell signaling using mass cytometry data from breast cancer cell lines.

17 citations

humanmultiome

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 2, 2018

Forensic STR profiling using Oxford Nanopore Technologies’ MinION sequencer

Senne Cornelis, Sander Willems, Christophe Van Neste…·Filip Van Nieuwerburgh

This study evaluates the use of Oxford Nanopore MinION sequencer for forensic STR profiling using standard primers and shows it can generate partial forensic profiles despite high error rates.

17 citations

experimental assay

𝕏 PostBluesky