| Time-dependence of graph theory metrics in functional connectivity analysis S Chiang, A Cassese, M Guindani, M Vannucci, HJ Yeh, Z Haneef, ... NeuroImage 125, 601-615, 2016 | 63 | 2016 |
| Round robin study of formalin-fixed paraffin-embedded tissues in mass spectrometry imaging A Buck, B Heijs, B Beine, J Schepers, A Cassese, RMA Heeren, ... Analytical and bioanalytical chemistry 410, 5969-5980, 2018 | 51 | 2018 |
| Spatial autocorrelation in mass spectrometry imaging A Cassese, SR Ellis, N Ogrinc Potočnik, E Burgermeister, M Ebert, ... Analytical chemistry 88 (11), 5871-5878, 2016 | 35 | 2016 |
| A Bayesian nonparametric spiked process prior for dynamic model selection A Cassese, W Zhu, M Guindani, M Vannucci | 25 | 2019 |
| A hierarchical Bayesian model for inference of copy number variants and their association to gene expression A Cassese, M Guindani, MG Tadesse, F Falciani, M Vannucci The annals of applied statistics 8 (1), 148, 2014 | 24 | 2014 |
| sdef: an R package to synthesize lists of significant features in related experiments M Blangiardo, A Cassese, S Richardson BMC bioinformatics 11, 1-10, 2010 | 15 | 2010 |
| Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data Q Li, A Cassese, M Guindani, M Vannucci Biometrics 75 (1), 183-192, 2019 | 12 | 2019 |
| A Bayesian integrative model for genetical genomics with spatially informed variable selection A Cassese, M Guindani, M Vannucci Cancer informatics 13, CIN. S13784, 2014 | 7 | 2014 |
| Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model D Mondal, S Vanbelle, A Cassese, MJJM Candel Statistical Methods in Medical Research 33 (3), 532-553, 2024 | 6 | 2024 |
| A network biology approach identifies molecular cross-talk between Normal prostate epithelial and prostate carcinoma cells V Trevino, A Cassese, Z Nagy, X Zhuang, J Herbert, P Antzack, K Clarke, ... PLoS computational biology 12 (4), e1004884, 2016 | 6 | 2016 |
| A Bayesian Model for the Identification of Differentially Expressed Genes in Daphnia Magna Exposed to Munition Pollutants A Cassese, M Guindani, P Antczak, F Falciani, M Vannucci Biometrics 71 (3), 803-811, 2015 | 6 | 2015 |
| REMAXINT: a two-mode clustering-based method for statistical inference on two-way interaction Z Ahmed, A Cassese, G van Breukelen, J Schepers Advances in Data Analysis and Classification 15 (4), 987-1013, 2021 | 3 | 2021 |
| iBATCGH: integrative Bayesian analysis of transcriptomic and CGH data A Cassese, M Guindani, M Vannucci Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014, 105-123, 2016 | 2 | 2016 |
| Robustness study of normality-based likelihood ratio tests for testing maximal interaction two-mode clustering and a permutation-based alternative Z Ahmed, A Cassese, G van Breukelen, J Schepers OSF, 2024 | | 2024 |
| Effects of the Digital Intervention StudentPOWR on the Subjective Wellbeing of Students Studying from Home: a Randomized Wait-List Control Trial L Nixon, B Slattery, A Cassese, G ten Hoor International Journal of Applied Positive Psychology 9 (1), 165-188, 2024 | | 2024 |
| E-ReMI: Extended Maximal Interaction Two-mode Clustering Z Ahmed, A Cassese, G van Breukelen, J Schepers Journal of Classification 40 (2), 298-331, 2023 | | 2023 |
| Bayesian Analysis LT Elliott, M De Iorio, S Favaro, K Adhikari, YW Teh, MW McLean, ... Bayesian Analysis 14 (2), 2019 | | 2019 |
| Package ‘sdef’ A Cassese, M Blangiardo, MA Cassese | | 2018 |
| iBATCGH A Cassese | | 2014 |
| A Hierarchical Bayesian Modeling Approach To Genetical Genomics A Cassese | | 2013 |
Michele GuindaniDepartment of Biostatistics, University of California, Los AngelesVerified email at ucla.edu