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Stijn Hawinkel
Stijn Hawinkel
Postdoctoral researcher, Ghent University/VIB, Belgium
在 ugent.be 的电子邮件经过验证
标题
引用次数
引用次数
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A broken promise: microbiome differential abundance methods do not control the false discovery rate
S Hawinkel, F Mattiello, L Bijnens, O Thas
Briefings in bioinformatics 20 (1), 210-221, 2019
1832019
Sequence count data are poorly fit by the negative binomial distribution
S Hawinkel, JCW Rayner, L Bijnens, O Thas
PloS one 15 (4), e0224909, 2020
372020
A unified framework for unconstrained and constrained ordination of microbiome read count data
S Hawinkel, FM Kerckhof, L Bijnens, O Thas
PLoS One 14 (2), e0205474, 2019
232019
Model-based joint visualization of multiple compositional omics datasets
S Hawinkel, L Bijnens, KAL Cao, O Thas
NAR Genomics and Bioinformatics 2 (3), lqaa050, 2020
112020
Out-of-Sample R2: Estimation and Inference
S Hawinkel, W Waegeman, S Maere
The American Statistician 78 (1), 15-25, 2024
92024
Spatial regression models for field trials: a comparative study and new ideas
S Hawinkel, S De Meyer, S Maere
Frontiers in plant science 13, 858711, 2022
62022
Evaluation of normalization and analysis methods for microbiome data
S Hawinkel
MSc (Unpublished), Universiteit Gent, Belgium, 2015
62015
Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression
S De Meyer, DF Cruz, T De Swaef, P Lootens, J De Block, K Bird, ...
PLoS computational biology 19 (5), e1011161, 2023
52023
Statistical detection of synergy: New methods and a comparative study
O Thas, A Tourny, B Verbist, S Hawinkel, M Nazarov, K Mutambanengwe, ...
Pharmaceutical Statistics 21 (2), 345-360, 2022
32022
Predicting yield traits of individual field-grown Brassica napus plants from rosette-stage leaf gene expression
S De Meyer, DF Cruz, T De Swaef, P Lootens, J De Block, K Bird, ...
bioRxiv, 2022.10. 21.513275, 2022
12022
The winner′ s curse under dependence: repairing empirical Bayes and a comparative study
S Hawinkel, O Thas, S Maere
bioRxiv, 2023.09. 22.558978, 2023
2023
A resampling-based empirical Bayes method for precise false discovery rate estimation under dependence
S Hawinkel, L Bijnens, O Thas
2022
Statistical analysis of microbiome sequence count data
S Hawinkel
Ghent University, 2020
2020
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