Researcher
Lieven Clement
- Keywords:Statistical bioinformatics, Statistical genomics
- Disciplines:Applied mathematics in specific fields, Statistics and numerical methods, Computational transcriptomics and epigenomics, Development of bioinformatics software, tools and databases, Single-cell data analysis, Analysis of next-generation sequence data, Biostatistics
Affiliations
- Department of Applied Mathematics, Computer Science and Statistics (Department)
Member
From24 Sep 2012 → Today - Department of Mathematical Modelling, Statistics and Bio-informatics (Department)
Member
From2 Aug 2000 → 30 Sep 2010
Projects
1 - 10 of 15
- A new fragment-centric perspective on proteomicsFrom1 May 2022 → TodayFunding: FWO Medium Size Research Infrastructure
- Proteomics-derived epitopes for dramatically improved anticancer and antibacterial vaccine developmentFrom1 Jan 2021 → TodayFunding: BOF - projects
- Precision medicine in inherited blindness using integrated omics in human and animal modelsFrom1 Jan 2020 → TodayFunding: BOF - projects
- High-resolution differential expression analysis for single-cell RNA-seq dataFrom1 Nov 2019 → 15 Jul 2023Funding: FWO junior postdoctoral fellowship
- Methods for differential expression analysis in single-cell transcriptomics at the gene- and transcript-levelFrom1 Nov 2019 → 31 Oct 2023Funding: FWO Strategic Basic Research Grant
- Novel statistics tools for reliable proteome-wide quantification of post-translational modificationsFrom1 Nov 2019 → 31 Oct 2023Funding: FWO Strategic Basic Research Grant
- Novel statistics tools for reliable proteome-wide quantification of post-translational modifications.From1 Oct 2019 → 1 Nov 2019Funding: BOF - doctoral mandates
- A whole new role for Unipept: a framework for comparative metaproteomics analysesFrom1 Oct 2019 → 31 Aug 2022Funding: FWO senior postdoctoral fellowship
- Goodbye blackbox: elucidating the working mechanisms of biochar and chitin on plant growth and disease resistanceFrom1 Jan 2019 → 31 Dec 2019Funding: FWO research grant KAN
- Statistical inference for differential analysis in single cell transcriptomicsFrom1 Jan 2019 → 31 Dec 2022Funding: FWO research project (including WEAVE projects)
Publications
11 - 20 of 64
- Trajectory-based differential expression analysis for single-cell sequencing data(2020)
Authors: Koen Van den Berge, Hector Roux de Bézieux, Kelly Street, Wouter Saelens, Robrecht Cannoodt, Yvan Saeys, Sandrine Dudoit, Lieven Clement
- MSqRob takes the missing hurdle : uniting intensity- and count-based proteomics(2020)
Authors: Ludger Goeminne, Adriaan Sticker, Lennart Martens, Lieven Clement
Pages: 6278 - 6287 - RNA sequencing data : hitchhiker's guide to expression analysis(2019)
Authors: Koen Van den Berge, Katharina M Hembach, Charlotte Soneson, Simone Tiberi, Lieven Clement, Michael I Love, Rob Patro, Mark D Robinson
Pages: 139 - 173 - Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications(2018)
Authors: Koen Van den Berge, Fanny Perraudeau, Charlotte Soneson, Michael I Love, Davide Risso, Jean-Philippe Vert, Mark D Robinson, Sandrine Dudoit, Lieven Clement
- Effect of management and age of ploughed out grass-clover on forage maize yield and residual soil nitrogen(2018)
Authors: Koen Van den Berge, Tommy D'Hose, Lieven Clement
Pages: 748 - 757 - Identification of immune-responsive gene 1 (IRG1) as a target of A20(2018)
Authors: Emmy Van Quickelberghe, Arne Martens, Ludger Goeminne, Lieven Clement, Geert van Loo
Pages: 2182 - 2191 - Experimental design and data-analysis in label-free quantitative LC/MS proteomics : a tutorial with MSqRob(2018)
Authors: Ludger Goeminne, Lieven Clement
Pages: 23 - 36 - Neurogenomic profiling reveals distinct gene expression profiles between brain parts that are consistent in ophthalmotilapia cichlids(2018)
Authors: Sofie Derycke, Loic Kéver, Koen Herten, Koen Van den Berge, Maarten Van Steenberge, Jeroen Van Houdt, Lieven Clement, Pascal Poncin, Eric Parmentier, Erik Verheyen
- Mass spectrometrists should search for all peptides, but assess only the ones they care about(2017)
Authors: Adriaan Sticker, Lennart Martens, Lieven Clement
Pages: 643 - 644 - A unified censored normal regression model for qPCR differential gene expression analysis(2017)
Authors: Peter Pipelers, Lieven Clement, Matthijs Vynck, Jan Hellemans, Jo Vandesompele, Olivier Thas