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Mirko Signorelli
Mirko Signorelli
Assistant professor of statistics, Leiden University
Email verificata su math.leidenuniv.nl - Home page
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Citata da
Citata da
Anno
NEAT: an efficient network enrichment analysis test
M Signorelli, V Vinciotti, EC Wit
BMC bioinformatics 17 (1), 352, 2016
582016
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
432020
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
362020
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
322020
Model-based clustering for populations of networks
M Signorelli, E Wit
Statistical Modelling 20 (1), 9-29, 2020
262020
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
252020
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
202018
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
172021
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
172021
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
132020
The markovchain package: A package for easily handling discrete markov chains in R; 2014
G Spedicato, M Signorelli
122019
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
102023
On community structure validation in real networks
M Signorelli, L Cutillo
Computational Statistics 37, 1165–1183, 2022
9*2022
Multiomic characterization of disease progression in mice lacking dystrophin
M Signorelli, R Tsonaka, A Aartsma-Rus, P Spitali
PLoS One 18 (3), e0283869, 2023
62023
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
62021
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
62021
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
42023
Inspecting the quality of care: a comparison of CUSUM methods for inter hospital performance
D Gomon, J Sijmons, H Putter, JW Dekker, R Tollenaar, M Wouters, ...
Health Services and Outcomes Research Methodology 24 (3), 281-303, 2024
22024
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 33 (2), 256-272, 2024
22024
pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors
M Signorelli
arXiv preprint arXiv:2309.15600, 2023
22023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20