Author

Margriet M. W. B. Hendriks

DSM (Netherlands)ORCID 0000-0003-3387-9253Unclaimed 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 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Age K. SmildeiD· 1 shared Andreas Meyer· 1 shared Edoardo SaccentiiD· 1 shared Jan Maarten van DijliD· 1 shared Martin HeldiD· 1 shared Priscilla ZwartjensiD· 1 shared René Pellaux· 1 shared Stefano GrassoiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Age K. SmildeORCID

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2 papers

Recent·Most cited

Synthetic BiologyACS Synthetic BiologyPeer-reviewedJan 17, 2023

Signal peptide efficiency: from high-throughput data to prediction and explanation

Stefano Grasso, Valentina Dabene, Margriet M. W. B. Hendriks…·Tjeerd van Rij

The paper evaluates 12,000 signal peptides using a high-throughput assay, trains a machine learning model to predict secretion efficiency, and explains the model's features.

57 citationstop 3%

protein sequencemachine learning (classical)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 11, 2019

Corruption of the Pearson correlation coefficient by measurement error: estimation, bias, and correction under different error models

Edoardo Saccenti, Margriet M. W. B. Hendriks, Age K. Smilde

The paper examines how measurement errors affect Pearson correlation coefficients and discusses methods to improve their estimation under various error models.

DOI 10.1101/671693

metabolomicsproteomics

𝕏 PostBluesky