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Journal Articles
- 2023
[j7]Marzia A. Cremona
, Francesca Chiaromonte:
Probabilistic K -means with Local Alignment for Clustering and Motif Discovery in Functional Data. J. Comput. Graph. Stat. 32(3): 1119-1130 (2023)- 2020
- [j6]Jacopo Di Iorio, Francesca Chiaromonte, Marzia A. Cremona:
On the bias of H-scores for comparing biclusters, and how to correct it. Bioinform. 36(9): 2955-2957 (2020) - 2019
- [j5]Marzia A. Cremona, Hongyan Xu, Kateryna D. Makova, Matthew Reimherr, Francesca Chiaromonte, Pedro Madrigal:
Functional data analysis for computational biology. Bioinform. 35(17): 3211-3213 (2019) - 2018
- [j4]Marzia A. Cremona, Alessia Pini, Fabio Cumbo, Kateryna D. Makova, Francesca Chiaromonte, Simone Vantini:
IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales. Bioinform. 34(13): 2289-2291 (2018) - 2016
- [j3]Rebeca Campos-Sánchez, Marzia A. Cremona, Alessia Pini, Francesca Chiaromonte, Kateryna D. Makova:
Integration and Fixation Preferences of Human and Mouse Endogenous Retroviruses Uncovered with Functional Data Analysis. PLoS Comput. Biol. 12(6) (2016) - [j2]Marzia A. Cremona, Binbin Liu, Yang Hu, Stefano Bruni, Roger Lewis:
Predicting railway wheel wear under uncertainty of wear coefficient, using universal kriging. Reliab. Eng. Syst. Saf. 154: 49-59 (2016) - 2015
- [j1]Marzia A. Cremona, Laura M. Sangalli, Simone Vantini, Gaetano Dellino, Pier Giuseppe Pelicci, Piercesare Secchi, Laura Riva:
Peak shape clustering reveals biological insights. BMC Bioinform. 16: 349:1-349:18 (2015)
Informal and Other Publications
- 2019
- [i1]Jacopo Di Iorio, Francesca Chiaromonte, Marzia A. Cremona:
On the bias of H-scores for comparing biclusters, and how to correct it. CoRR abs/1907.11142 (2019)
Coauthor Index
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