| Non-B DNA: a major contributor to small-and large-scale variation in nucleotide substitution frequencies across the genome W M Guiblet, MA Cremona, RS Harris, D Chen, KA Eckert, F Chiaromonte, ... Nucleic Acids Research 49 (3), 1497–1516, 2021 | 114 | 2021 |
| Age-related accumulation of de novo mitochondrial mutations in mammalian oocytes and somatic tissues B Arbeithuber, J Hester, MA Cremona, N Stoler, A Zaidi, B Higgins, ... PLoS biology 18 (7), e3000745, 2020 | 103 | 2020 |
| Long-read sequencing technology indicates genome-wide effects of non-B DNA on polymerization speed and error rate WMF Guiblet, MA Cremona, M Cechova, RS Harris, I Kejnovska, ... Genome Research, 2018 | 86 | 2018 |
| Integration and Fixation Preferences of Human and Mouse Endogenous Retroviruses Uncovered with Functional Data Analysis R Campos-Sánchez, MA Cremona, A Pini, F Chiaromonte, KD Makova PLoS Computational Biology 12 (6), e1004956, 2016 | 67 | 2016 |
| Functional data analysis characterizes the shapes of the first COVID-19 epidemic wave in Italy T Boschi, J Di Iorio, L Testa, MA Cremona, F Chiaromonte Scientific Reports 11, 17054, 2021 | 63* | 2021 |
| Predicting railway wheel wear under uncertainty of wear coefficient, using universal kriging MA Cremona, B Liu, Y Hu, S Bruni, R Lewis Reliability Engineering & System Safety 154, 49-59, 2016 | 52 | 2016 |
| Nurses’ intention to leave, nurse workload and in-hospital patient mortality in Italy: a descriptive and regression study. G Catania, M Zanini, MA Cremona, P Landa, ME Musio, R Watson, G Aleo, ... Health Policy, 105032, 2024 | 49 | 2024 |
| Advanced age increases frequencies of de novo mitochondrial mutations in macaque oocytes and somatic tissues B Arbeithuber, MA Cremona, J Hester, A Barrett, B Higgins, K Anthony, ... Proceedings of the National Academy of Sciences of the United States of …, 2022 | 38 | 2022 |
| Peak shape clustering reveals biological insights MA Cremona, LM Sangalli, S Vantini, GI Dellino, PG Pelicci, P Secchi, ... BMC Bioinformatics 16 (1), 349, 2015 | 31 | 2015 |
| Functional data analysis for computational biology MA Cremona, H Xu, K Makova, M Reimherr, F Chiaromonte, P Madrigal Bioinformatics, 2019 | 30 | 2019 |
| Accurate sequencing of DNA motifs able to form alternative (non-B) structures MH Weissensteiner, MA Cremona, WM Guiblet, N Stoler, RS Harris, ... Genome Research 33 (6), 907-922, 2023 | 26* | 2023 |
| A high resolution view of adaptive event dynamics in a plasmid H Mei, B Arbeithuber, MA Cremona, M DeGiorgio, A Nekrutenko Genome Biology and Evolution, 2019 | 26 | 2019 |
| Probabilistic K-means with local alignment for clustering and motif discovery in functional data MA Cremona, F Chiaromonte Journal of Computational and Graphical Statistics, 1-17, 2023 | 19 | 2023 |
| IWTomics: testing high-resolution sequence-based “Omics” data at multiple locations and scales MA Cremona, A Pini, F Cumbo, KD Makova, F Chiaromonte, S Vantini Bioinformatics 34 (13), 2289-2291, 2018 | 14 | 2018 |
| On the bias of H-scores for comparing biclusters, and how to correct it J Di Iorio, F Chiaromonte, MA Cremona Bioinformatics 36 (9), 2955–2957, 2020 | 9 | 2020 |
| Human L1 Transposition Dynamics Unraveled with Functional Data Analysis D Chen, MA Cremona, Z Qi, RD Mitra, F Chiaromonte, KD Makova Molecular Biology and Evolution 37 (12), 3576–3600, 2020 | 7 | 2020 |
| A data-driven personalized approach to predict blood glucose levels in type-1 diabetes patients exercising in free-living conditions A Neumann, Y Zghal, MA Cremona, A Hajji, M Morin, M Rekik Computers in Biology and Medicine 190, 110015, 2025 | 6 | 2025 |
| COVID-19 effects on the Canadian term structure of interest rates F Severino, MA Cremona, É Dadié Review of Economic Analysis 14 (4), 473-502, 2022 | 6 | 2022 |
| Rescuing biologically relevant consensus regions across replicated samples V Jalili, MA Cremona, F Palluzzi BMC Bioinformatics 24 (1), 1-16, 2023 | 3 | 2023 |
| BarCamp: Technology Foresight and Statistics for the Future L Azzimonti, MA Cremona, A Ghiglietti, F Ieva, A Menafoglio, A Pini, ... Advances in Complex Data Modeling and Computational Methods in Statistics, 53-67, 2015 | 3 | 2015 |
Francesca ChiaromonteProfessor of Statistics, Pennsylvania State University, Sant'Anna School of Advanced StudiesVerified email at psu.edu
