Author

B. De Ketelaere

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Organism:chicken / avian· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

B. Aernouts· 2 shared I. Adriaens· 2 shared W. Saeys· 2 shared D. Spasic· 1 shared J. Lammertyn· 1 shared K. Geerinckx· 1 shared M. Corion· 1 shared N. C. Friggens· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioengineering

B. Aernouts

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Author profile →

3 papers

Recent·Most cited

Allantoic fluid-based qPCR for early-onset in ovo sexing

S. M. B. d. Santos, M. Corion, B. De Ketelaere, J. Lammertyn, D. Spasic

This paper develops an allantoic fluid-based qPCR method for early in ovo sexing with high accuracy and minimal impact on embryo development.

bioRxiv · Dec 13, 2023 · PreprintBioengineering

Validation of a novel milk progesterone-based tool to monitor luteolysis in dairy cows. Timing of the alerts and robustness against missing values

I. Adriaens, O. Martin, W. Saeys, B. De Ketelaere, N. C. Friggens, B. Aernouts

This paper validates two algorithms for detecting luteolysis in dairy cows using simulated milk progesterone data, finding that PMASC detects luteolysis earlier and is more robust to missing values than a Kalman filter approach.

bioRxiv · Jun 17, 2019Bioengineering

SHORT COMMUNICATION: Validation of a novel milk progesterone based tool to monitor luteolysis in dairy cows. Performance on cost-effective, on-farm measured data

I. Adriaens, W. Saeys, K. Geerinckx, B. De Ketelaere, B. Aernouts

bioRxiv · Feb 7, 2019Bioengineering