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Edoardo Saccenti
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A gentle introduction to principal component analysis using tea‐pots, dinosaurs, and pizza
E Saccenti
Teaching Statistics 46 (1), 38-52, 2024
12024
A large-scale analysis of codon usage bias in 4868 bacterial genomes shows association of codon adaptation index with GC content, protein functional domains and bacterial …
A Masłowska-Górnicz, MRM van den Bosch, E Saccenti, M Suarez-Diez
Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms 1865 (6), 194826, 2022
62022
A metabolomic perspective on coeliac disease
A Calabrò, E Gralka, C Luchinat, E Saccenti, L Tenori
Autoimmune diseases 2014 (1), 756138, 2014
462014
A normalisation protocol to mitigate batch effects and allow comparison of the effects of different treatments on the same biological system
PB Venkatasubramanian, E Giampieri, J Mes, E Saccenti, G Castellani, ...
A computational approach to study the transcriptional response of …, 0
A validated model for early prediction of group A streptococcal aetiology and clinical endpoints in necrotising soft tissue infections
S Katz, J Suijker, S Skrede, A Meij-de Vries, A Pijpe, A Norrby-Teglund, ...
medRxiv, 2024.06. 05.24308478, 2024
2024
Age and sex effects on plasma metabolite association networks in healthy subjects
A Vignoli, L Tenori, C Luchinat, E Saccenti
Journal of proteome research 17 (1), 97-107, 2018
792018
Age-and sex-dependent changes of free circulating blood metabolite and lipid abundances, correlations, and ratios
F Di Cesare, C Luchinat, L Tenori, E Saccenti
The Journals of Gerontology: Series A 77 (5), 918-926, 2022
152022
All sparse PCA models are wrong, but some are useful
J Camacho, AK Smilde, E Saccenti, JA Westerhuis
Part i: computation of scores, residuals and explained variance. arXiv1907 3989, 2019
22019
All sparse PCA models are wrong, but some are useful. Part I: computation of scores, residuals and explained variance
J Camacho, AK Smilde, E Saccenti, JA Westerhuis
Chemometrics and Intelligent Laboratory Systems 196, 103907, 2020
382020
All sparse PCA models are wrong, but some are useful. Part II: Limitations and problems of deflation
J Camacho, AK Smilde, E Saccenti, JA Westerhuis, R Bro
Chemometrics and Intelligent Laboratory Systems 208, 104212, 2021
102021
Allostasis and resilience of the human individual metabolic phenotype
V Ghini, E Saccenti, L Tenori, M Assfalg, C Luchinat
Journal of proteome research 14 (7), 2951-2962, 2015
582015
Analysis and Interpretation of Metabolite Associations Using Correlations
E Saccenti
Metabolomics: Recent Advances and Future Applications, 59-92, 2023
2023
Analysis of host-pathogen gene association networks reveals patient-specific response to streptococcal and polymicrobial necrotising soft tissue infections
S Jahagirdar, L Morris, N Benis, O Oppegaard, M Svenson, O Hyldegaard, ...
BMC medicine 20 (1), 173, 2022
52022
Analysis of metabolite and lipid association networks reveals molecular mechanisms associated with 3-month mortality and poor functional outcomes in patients with acute …
C Licari, L Tenori, B Giusti, E Sticchi, A Kura, R De Cario, D Inzitari, ...
Journal of Proteome Research 20 (10), 4758-4770, 2021
92021
Approaches to sample size determination for multivariate data: Applications to PCA and PLS-DA of omics data
E Saccenti, ME Timmerman
Journal of proteome research 15 (8), 2379-2393, 2016
922016
Assessing the Metabolic Diversity of Streptococcus from a Protein Domain Point of View
E Saccenti, D Nieuwenhuijse, JJ Koehorst, VAP Martins dos Santos, ...
PloS one 10 (9), e0137908, 2015
112015
Association between psychosocial stress and fecal microbiota in pregnant women
C Hechler, K Borewicz, R Beijers, E Saccenti, M Riksen-Walraven, ...
Scientific reports 9 (1), 4463, 2019
762019
Association of plasma metabolites and lipoproteins with Rh and ABO blood systems in healthy subjects
F Di Cesare, L Tenori, C Luchinat, E Saccenti
Journal of Proteome Research 21 (11), 2655-2663, 2022
42022
Author Correction: Corruption of the Pearson correlation coefficient by measurement error and its estimation, bias, and correction under different error models
E Saccenti, MHWB Hendriks, AK Smilde
Scientific Reports 13 (1), 22748, 2023
12023
Beethoven’s deafness and his three styles
E Saccenti, AK Smilde, WHM Saris
BMJ 343, 2011
292011
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