| NEAT: an efficient network enrichment analysis test M Signorelli, V Vinciotti, EC Wit BMC bioinformatics 17 (1), 352, 2016 | 53 | 2016 |
| Longitudinal serum biomarker screening identifies malate dehydrogenase 2 as candidate prognostic biomarker for Duchenne muscular dystrophy M Signorelli, B Ayoglu, C Johansson, H Lochmüller, V Straub, F Muntoni, ... Journal of cachexia, sarcopenia and muscle 11 (2), 505-517, 2020 | 34 | 2020 |
| Rimeporide as a first-in-class NHE-1 inhibitor: Results of a phase Ib trial in young patients with Duchenne Muscular Dystrophy SC Previtali, T Gidaro, J Díaz-Manera, A Zambon, S Carnesecchi, ... Pharmacological research 159, 104999, 2020 | 32 | 2020 |
| Blood-derived biomarkers correlate with clinical progression in Duchenne muscular dystrophy K Strandberg, B Ayoglu, A Roos, M Reza, E Niks, M Signorelli, E Fasterius, ... Journal of neuromuscular diseases 7 (3), 231-246, 2020 | 26 | 2020 |
| Model-based clustering for populations of networks M Signorelli, E Wit Statistical Modelling 20 (1), 9-29, 2020 | 25 | 2020 |
| Longitudinal metabolomic analysis of plasma enables modeling disease progression in Duchenne muscular dystrophy mouse models R Tsonaka, M Signorelli, E Sabir, A Seyer, K Hettne, A Aartsma-Rus, ... Human Molecular Genetics 29 (5), 745-755, 2020 | 22 | 2020 |
| A penalized inference approach to stochastic blockmodelling of community structure in the Italian Parliament M Signorelli, EC Wit Journal of the Royal Statistical Society: Series C (Applied Statistics) 67 …, 2018 | 20 | 2018 |
| Peripheral blood transcriptome profiling enables monitoring disease progression in dystrophic mice and patients M Signorelli, M Ebrahimpoor, O Veth, K Hettne, N Verwey, ... EMBO Molecular Medicine 13 (4), e13328, 2021 | 16 | 2021 |
| Low dystrophin variability between muscles and stable expression over time in Becker muscular dystrophy using capillary Western immunoassay Z Koeks, AA Janson, C Beekman, M Signorelli, HA van Duyvenvoorde, ... Scientific reports 11 (1), 5952, 2021 | 15 | 2021 |
| Evaluation of blood gene expression levels in facioscapulohumeral muscular dystrophy patients M Signorelli, AG Mason, K Mul, T Evangelista, H Mei, N Voermans, ... Scientific reports 10 (1), 17547, 2020 | 11 | 2020 |
| The markovchain package: A package for easily handling discrete markov chains in R; 2014 G Spedicato, M Signorelli | 10 | 2019 |
| On community structure validation in real networks M Signorelli, L Cutillo Computational Statistics 37, 1165–1183, 2022 | 8* | 2022 |
| Poisson–Tweedie mixed-effects model: A flexible approach for the analysis of longitudinal RNA-seq data M Signorelli, P Spitali, R Tsonaka Statistical Modelling 21 (6), 520-545, 2021 | 6 | 2021 |
| Multiomic characterization of disease progression in mice lacking dystrophin M Signorelli, R Tsonaka, A Aartsma-Rus, P Spitali PLoS One 18 (3), e0283869, 2023 | 4 | 2023 |
| Penalized regression calibration: A method for the prediction of survival outcomes using complex longitudinal and high‐dimensional data M Signorelli, P Spitali, CAK Szigyarto, MARK‐MD Consortium, R Tsonaka Statistics in Medicine 40 (27), 6178-6196, 2021 | 4 | 2021 |
| Orthogonal proteomics methods warrant the development of Duchenne muscular dystrophy biomarkers C Johansson, H Hunt, M Signorelli, F Edfors, A Hober, AS Svensson, ... Clinical Proteomics 20 (1), 23, 2023 | 3 | 2023 |
| Longitudinal Assessment of Creatine Kinase, Creatine/Creatinineratio, and Myostatin as Monitoring Biomarkers in Becker Muscular Dystrophy NM van de Velde, Z Koeks, M Signorelli, N Verwey, M Overzier, JA Bakker, ... Neurology 100 (9), e975-e984, 2023 | 2 | 2023 |
| Variable selection for (realistic) stochastic blockmodels M Signorelli SIS 2017. Statistics and Data Science: new challenges, new generations, 927-934, 2017 | 2 | 2017 |
| Dynamic prediction of survival using multivariate functional principal component analysis: A strict landmarking approach D Gomon, H Putter, M Fiocco, M Signorelli Statistical Methods in Medical Research, 09622802231224631, 2024 | 1 | 2024 |
| pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors M Signorelli arXiv preprint arXiv:2309.15600, 2023 | 1 | 2023 |
Pietro SpitaliLeiden University Medical CenterEmail verificata su lumc.nl
