Ghent University Academic Bibliography

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Determining tipping points and responses of macroinvertebrate traits to abiotic factors in support of river management

Marie Anne Eurie Forio (UGent) , Peter Goethals (UGent) , Koen Lock (UGent) , Thi Hanh Tien Nguyen (UGent) , Minar Naomi Damanik Ambarita (UGent) , Luis Dominguez-Granda and Olivier Thas (UGent)

(2023) BIOLOGY-BASEL. 12(4).
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Semiparametric estimation of probabilistic index models : efficiency and bias

Karel Vermeulen (UGent) , Jan De Neve (UGent) , Gustavo Amorim, Olivier Thas (UGent) and Stijn Vansteelandt (UGent)

(2023) STATISTICA SINICA. 33(2). p.1003-1024
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Statistical detection of synergy : new methods and a comparative study

Olivier Thas (UGent) , Annelies Tourny (UGent) , Bie Verbist, Stijn Hawinkel, Maxim Nazarov, Kathy Mutambanengwe and Luc Bijnens

(2022) PHARMACEUTICAL STATISTICS. 21(2). p.345-360
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Model-based joint visualization of multiple compositional omics datasets

Stijn Hawinkel (UGent) , Luc Bijnens, Kim-Anh Lê Cao and Olivier Thas (UGent)

(2020) NAR GENOMICS AND BIOINFORMATICS. 2(3).
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Sequence count data are poorly fit by the negative binomial distribution

Stijn Hawinkel (UGent) , JCW Rayner, Luc Bijnens and Olivier Thas (UGent)

(2020) PLOS ONE. 15(4).
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SPECS: a non-parametric method to identify tissue-specific molecular features for unbalanced sample groups

Celine Everaert (UGent) , Pieter-Jan Volders (UGent) , Annelien Morlion (UGent) , Olivier Thas (UGent) and Pieter Mestdagh (UGent)

(2020) BMC Bioinformatics. 21(1).
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On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

Alemu Takele Assefa, Jo Vandesompele (UGent) and Olivier Thas (UGent)

(2020) BMC GENOMICS. 21(1).
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SPsimSeq : semi-parametric simulation of bulk and single-cell RNA-sequencing data

Alemu Takele Assefa, Jo Vandesompele (UGent) and Olivier Thas (UGent)

(2020) BIOINFORMATICS. 36(10). p.3276-3278
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A broken promise : microbiome differential abundance methods do not control the false discovery rate

Stijn Hawinkel (UGent) , Federico Mattiello (UGent) , Luc Bijnens and Olivier Thas (UGent)

(2019) BRIEFINGS IN BIOINFORMATICS. 20(1). p.210-221
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A unified framework for unconstrained and constrained ordination of microbiome read count data

Stijn Hawinkel (UGent) , Frederiek-Maarten Kerckhof (UGent) , Luc Bijnens and Olivier Thas (UGent)

(2019) PLOS ONE. 14(2).

Academic Bibliography

Determining tipping points and responses of macroinvertebrate traits to abiotic factors in support of river management

Semiparametric estimation of probabilistic index models : efficiency and bias

Statistical detection of synergy : new methods and a comparative study

Model-based joint visualization of multiple compositional omics datasets

Sequence count data are poorly fit by the negative binomial distribution

SPECS: a non-parametric method to identify tissue-specific molecular features for unbalanced sample groups

On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments

SPsimSeq : semi-parametric simulation of bulk and single-cell RNA-sequencing data

A broken promise : microbiome differential abundance methods do not control the false discovery rate

A unified framework for unconstrained and constrained ordination of microbiome read count data

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