| RNA sequencing data: hitchhiker's guide to expression analysis K Van den Berge, KM Hembach, C Soneson, S Tiberi, L Clement, MI Love, ... Annual Review of Biomedical Data Science 2 (1), 139-173, 2019 | 154 | 2019 |
| Enhanced protein isoform characterization through long-read proteogenomics RM Miller, BT Jordan, MM Mehlferber, ED Jeffery, C Chatzipantsiou, ... Genome biology 23 (1), 69, 2022 | 49 | 2022 |
| Bayesian inference on stochastic gene transcription from flow cytometry data S Tiberi, M Walsh, M Cavallaro, D Hebenstreit, B Finkenstädt Bioinformatics 34 (17), i647-i655, 2018 | 33 | 2018 |
| BANDITS: Bayesian differential splicingaccounting for sample-to-sample variabilityand mapping uncertainty S Tiberi, MD Robinson Genome Biology 21 (69), 2020 | 27 | 2020 |
| 3 ′-5 ′ crosstalk contributes to transcriptional bursting M Cavallaro, MD Walsh, M Jones, J Teahan, S Tiberi, B Finkenstädt, ... Genome biology 22, 1-20, 2021 | 25 | 2021 |
| Non-sentinel lymph node metastases in breast cancer patients with a positive sentinel lymph node: validation of five nomograms and development of a new predictive model A Lombardi, S Maggi, ML Russo, F Scopinaro, D Di Stefano, MG Pittau, ... Tumori Journal 97 (6), 749-755, 2011 | 18 | 2011 |
| A guide to trajectory inference and RNA velocity P Weiler, K Van den Berge, K Street, S Tiberi Single Cell Transcriptomics: Methods and Protocols, 269-292, 2022 | 17 | 2022 |
| Large-scale profiling of extracellular vesicles identified miR-625-5p as a novel biomarker of immunotherapy response in advanced non-small-cell lung cancer patients F Pantano, F Zalfa, M Iuliani, S Simonetti, P Manca, A Napolitano, S Tiberi, ... Cancers 14 (10), 2435, 2022 | 15 | 2022 |
| distinct: a novel approach to differential distribution analyses S Tiberi, HL Crowell, P Samartsidis, LM Weber, MD Robinson The Annals of Applied Statistics, 2023 | 9 | 2023 |
| Unbiased approximations of products of expectations A Lee, S Tiberi, G Zanella Biometrika 106 (3), 708-715, 2019 | 8 | 2019 |
| Large-Scale Profiling of Extracellular Vesicles Identified miR-625-5p as a Novel Biomarker of Immunotherapy Response in Advanced Non-Small-Cell Lung Cancer Patients. Cancers … F Pantano, F Zalfa, M Iuliani, S Simonetti, P Manca, A Napolitano, S Tiberi, ... DOI: https://doi. org/10.3390/cancers14102435, 0 | 8 | |
| distinct: a novel approach to differential distribution analyses. bioRxiv. 2020 S Tiberi, HL Crowell, LM Weber, P Samartsidis, MD Robinson | 5 | |
| DESpace: spatially variable gene detection via differential expression testing of spatial clusters P Cai, MD Robinson, S Tiberi Bioinformatics 40 (2), btae027, 2024 | 2 | 2024 |
| Apomixis and genetic background affect distinct traits in Hieracium pilosella L. grown under competition C Sailer, S Tiberi, B Schmid, J Stöcklin, U Grossniklaus BMC biology 19, 1-10, 2021 | 2 | 2021 |
| A composite likelihood approach to predict the sex of the baby S Tiberi, B Scarpa, N Sartori Statistical Methods in Medical Research 27 (11), 3386-3396, 2018 | 1 | 2018 |
| DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes S Tiberi, J Meili, P Cai, C Soneson, D He, H Sarkar, A Avalos-Pacheco, ... Biostatistics, kxae017, 2024 | | 2024 |
| IsoBayes: a Bayesian approach for single-isoform proteomics inference J Bollon, MR Shortreed, BT Jordan, R Miller, E Jeffery, A Cavalli, ... bioRxiv, 2024.06. 10.598223, 2024 | | 2024 |
| A Bayesian two-layer latent variable model for protein inference J Bollon, S Tiberi Methodological and Applied Statistics and Demography III-SIS 2024, Short …, 2024 | | 2024 |
| Bayesian hierarchical stochastic inference on multiple, single cell, latent states from both longitudinal and stationary data. S Tiberi University of Warwick, 2016 | | 2016 |
| Un approccio di verosimiglianza composita per la previsione del sesso dei nati S Tiberi University of Padua, 2012 | | 2012 |
Mark D. RobinsonFull Professor of Statistical Genomics, University of ZurichEmail verificata su mls.uzh.ch