| Predicting trajectories of functional decline in 60-to 70-year-old people NH Jonkman, V Del Panta, T Hoekstra, M Colpo, NM Van Schoor, ... Gerontology 64 (3), 212-221, 2018 | 77 | 2018 |
| FRAT-up, a web-based fall-risk assessment tool for elderly people living in the community L Cattelani, P Palumbo, L Palmerini, S Bandinelli, C Becker, F Chesani, ... Journal of medical Internet research 17 (2), e4064, 2015 | 69 | 2015 |
| Predictive performance of a fall risk assessment tool for community-dwelling older people (FRAT-up) in 4 European cohorts P Palumbo, J Klenk, L Cattelani, S Bandinelli, L Ferrucci, K Rapp, L Chiari, ... Journal of the American Medical Directors Association 17 (12), 1106-1113, 2016 | 59 | 2016 |
| Transcriptomics in toxicogenomics, part I: experimental design, technologies, publicly available data, and regulatory aspects PAS Kinaret, A Serra, A Federico, P Kohonen, P Nymark, I Liampa, MK Ha, ... Nanomaterials 10 (4), 750, 2020 | 56 | 2020 |
| Transcriptomics in toxicogenomics, part III: data modelling for risk assessment A Serra, M Fratello, L Cattelani, I Liampa, G Melagraki, P Kohonen, ... Nanomaterials 10 (4), 708, 2020 | 52 | 2020 |
| Transcriptomics in toxicogenomics, part II: preprocessing and differential expression analysis for high quality data A Federico, A Serra, MK Ha, P Kohonen, JS Choi, I Liampa, P Nymark, ... Nanomaterials 10 (5), 903, 2020 | 44 | 2020 |
| Development of a clinical prediction model for the onset of functional decline in people aged 65–75 years: pooled analysis of four European cohort studies NH Jonkman, M Colpo, J Klenk, C Todd, T Hoekstra, V Del Panta, K Rapp, ... BMC geriatrics 19, 1-12, 2019 | 34 | 2019 |
| Risk prediction model for late life depression: Development and validation on three large European datasets L Cattelani, MB Murri, F Chesani, L Chiari, S Bandinelli, P Palumbo IEEE journal of biomedical and health informatics 23 (5), 2196-2204, 2018 | 24 | 2018 |
| Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation A Serra, M Fratello, A Federico, R Ojha, R Provenzani, E Tasnadi, ... Briefings in bioinformatics 23 (1), bbab507, 2022 | 21 | 2022 |
| User Experience (UX) of the fall risk assessment tool (FRAT-up) A Nawaz, JL Helbostad, L Chiari, F Chesani, L Cattelani 2015 IEEE 28th International Symposium on Computer-Based Medical Systems, 19-22, 2015 | 14 | 2015 |
| Risk prediction models for depression in community-dwelling older adults MB Murri, L Cattelani, F Chesani, P Palumbo, F Triolo, GS Alexopoulos The American Journal of Geriatric Psychiatry 30 (9), 949-960, 2022 | 13 | 2022 |
| A particle filtering approach for tracking an unknown number of objects with dynamic relations L Cattelani, C Manfredotti, E Messina Journal of Mathematical Modelling and Algorithms in Operations Research, 2014 | 11 | 2014 |
| Nextcast: a software suite to analyse and model toxicogenomics data A Serra, LA Saarimäki, A Pavel, G Del Giudice, M Fratello, L Cattelani, ... Computational and structural biotechnology journal 20, 1413-1426, 2022 | 10 | 2022 |
| Network analysis of microarray data A Pavel, A Serra, L Cattelani, A Federico, D Greco Microarray Data Analysis, 161-186, 2022 | 10 | 2022 |
| FRAT-up, a rule-based system evaluating fall risk in the elderly L Cattelani, F Chesani, P Palumbo, L Palmerini, S Bandinelli, C Becker, ... 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 38-41, 2014 | 10 | 2014 |
| Mobility analysis inside buildings using Distrimobs simulator: a case study M Brambilla, L Cattelani Building and environment 44 (3), 595-604, 2009 | 9 | 2009 |
| Improved NSGA-II algorithms for multi-objective biomarker discovery L Cattelani, V Fortino Bioinformatics 38 (Supplement_2), ii20-ii26, 2022 | 8 | 2022 |
| A rule-based framework for risk assessment in the health domain L Cattelani, F Chesani, L Palmerini, P Palumbo, L Chiari, S Bandinelli International Journal of Approximate Reasoning 119, 242-259, 2020 | 6 | 2020 |
| Unsupervised algorithms for microarray sample stratification M Fratello, L Cattelani, A Federico, A Pavel, G Scala, A Serra, D Greco Microarray Data Analysis, 121-146, 2022 | 5 | 2022 |
| Transcriptomics in toxicogenomics, part III: data modelling for risk assessment. Nanomaterials 10: 708 A Serra, M Fratello, L Cattelani, I Liampa, G Melagraki, P Kohonen, ... | 5 | 2020 |
Federico ChesaniResearcher, Computer Science, University of BolognaEmail verificata su unibo.it
