Marzia Angela Cremona
Marzia Angela Cremona
Department of Operations and Decision Systems, Université Laval
Verified email at - Homepage
Cited by
Cited by
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
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
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
Peak shape clustering reveals biological insights
MA Cremona, LM Sangalli, S Vantini, GI Dellino, PG Pelicci, P Secchi, ...
BMC Bioinformatics 16 (1), 349, 2015
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
Functional data analysis for computational biology
MA Cremona, H Xu, K Makova, M Reimherr, F Chiaromonte, P Madrigal
Bioinformatics, 2019
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
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
The shapes of an epidemic: using Functional Data Analysis to characterize COVID-19 in Italy
T Boschi, J Di Iorio, L Testa, MA Cremona, F Chiaromonte
arXiv preprint arXiv:2008.04700, 2020
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
Probabilistic -mean with local alignment for clustering and motif discovery in functional data
MA Cremona, F Chiaromonte
arXiv preprint arXiv:1808.04773, 2020
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
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
On the bias of H-scores for comparing biclusters, and how to correct it
J Di Iorio, F Chiaromonte, MA Cremona
Bioinformatics, btaa060, 2020
COVID-19 Effects on the Canadian Term Structure of Interest Rates
F Severino, MA Cremona, É Dadié
SSRN, 3762628, 2021
Duplex sequencing uncovers age-related increase in the frequency of de novo indels in mouse mitochondrial DNA
E Torres-Gonzalez, B Arbeithuber, J Hester, MA Cremona, N Stoler, ...
European Journal of Human Genetics - Abstracts from the 53rd European …, 2020
G-Quadruplex sequences are barriers to replicative DNA polymerases and hotspots of mutagenesis.
KA Eckert, SE Hile, W Guiblet, MA Cremona, ME Stein, YF Huang, ...
Environmental and Molecular Mutagenesis - Abstracts from the Environmental …, 2020
Using IWTomics to detect genomic features that discriminate between different groups of regions.
MA Cremona, A Pini, F Chiaromonte, S Vantini
Functional data analysis of “Omics” data: how does the genomic landscape influence integration and fixation of endogenous retroviruses?
MA Cremona, R Campos-Sánchez, A Pini, S Vantini, KD Makova, ...
Functional Statistics and Related Fields, 87-93, 2017
Functional data analysis at the boundary of “Omics”
MA Cremona, R Campos-Sànchez, A Pini, S Vantini, KD Makova, ...
IWSM 2016, 31st International Workshop on Statistical Modelling, 2016
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