Folgen
Marzia Angela Cremona
Marzia Angela Cremona
Department of Operations and Decision Systems, Université Laval
Bestätigte E-Mail-Adresse bei fsa.ulaval.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
762021
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
702020
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
582018
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
572016
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
47*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
412016
Peak shape clustering reveals biological insights
MA Cremona, LM Sangalli, S Vantini, GI Dellino, PG Pelicci, P Secchi, ...
BMC Bioinformatics 16 (1), 349, 2015
292015
Functional data analysis for computational biology
MA Cremona, H Xu, K Makova, M Reimherr, F Chiaromonte, P Madrigal
Bioinformatics, 2019
212019
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
152022
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
13*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
92023
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
92018
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
7*2023
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
72020
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
62020
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
42022
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
42015
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
2024
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
Available at SSRN 4777350, 2024
2024
An efficient approach to characterize spatio-temporal dependence in cortical surface fMRI data
H Dang, M Cremona, N Lazar, F Chiaromonte
arXiv preprint arXiv:2312.16346, 2023
2023
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20