Search Results - "Saccenti, E"

Phenotyping metabolic status of dairy cows using clustering of time profiles of energy balance peripartum by Vossebeld, F., van Knegsel, A.T.M., Saccenti, E.

“…Due to a combination of a relatively low energy intake and a high demand of energy required for milk production, dairy cows experience a negative energy…”
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Association between Psychosocial Stress and Fecal Microbiota in Pregnant Women by Hechler, C., Borewicz, K., Beijers, R., Saccenti, E., Riksen-Walraven, M., Smidt, H., de Weerth, C.

“…Maternal prenatal psychosocial stress is associated with altered child emotional and behavioral development. One potential underlying mechanism is that…”
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Time profiles of energy balance in dairy cows in association with metabolic status, inflammatory status, and disease by Ma, J., Kok, A., Burgers, E.E.A., Bruckmaier, R.M., Goselink, R.M.A., Gross, J.J., Kemp, B., Lam, T.J.G.M., Minuti, A., Saccenti, E., Trevisi, E., Vossebeld, F., van Knegsel, A.T.M.

“…The early lactation period in dairy cows is characterized by complex interactions among energy balance (EB), disease, and alterations in metabolic and…”
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Domesticated equine species and their derived hybrids differ in their fecal microbiota by Edwards, J E, Schennink, A, Burden, F, Long, S, van Doorn, D A, Pellikaan, W F, Dijkstra, J, Saccenti, E, Smidt, H

“…Compared to horses and ponies, donkeys have increased degradation of dietary fiber. The longer total mean retention time of feed in the donkey gut has been…”
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Anti-leukemic activity of microRNA-26a in a chronic lymphocytic leukemia mouse model by D’Abundo, L, Callegari, E, Bresin, A, Chillemi, A, Elamin, B K, Guerriero, P, Huang, X, Saccenti, E, Hussein, E M A A, Casciano, F, Secchiero, P, Zauli, G, Calin, G A, Russo, G, Lee, L J, Croce, C M, Marcucci, G, Sabbioni, S, Malavasi, F, Negrini, M

“…Dysregulation of microRNAs (miRNAs) plays an important role in the pathogenesis of chronic lymphocytic leukemia (CLL). The Eμ- TCL1 transgenic mouse develops a…”
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Identification of a serum-detectable metabolomic fingerprint potentially correlated with the presence of micrometastatic disease in early breast cancer patients at varying risks of disease relapse by traditional prognostic methods by Oakman, C., Tenori, L., Claudino, W.M., Cappadona, S., Nepi, S., Battaglia, A., Bernini, P., Zafarana, E., Saccenti, E., Fornier, M., Morris, P.G., Biganzoli, L., Luchinat, C., Bertini, I., Di Leo, A.

“…Prognostic tools in early breast cancer are inadequate. The evolving field of metabolomics may allow more accurate identification of patients with residual…”
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Necrotizing soft tissue infections – a multicentre, prospective observational study (INFECT): protocol and statistical analysis plan by Madsen, M. B., Skrede, S., Bruun, T., Arnell, P., Rosén, A., Nekludov, M., Karlsson, Y., Bergey, F., Saccenti, E., Martins dos Santos, V. A. P., Perner, A., Norrby‐Teglund, A., Hyldegaard, O.

“…Background The INFECT project aims to advance our understanding of the pathophysiological mechanisms in necrotizing soft tissue infections (NSTIs). The INFECT…”
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Diabetes and necrotizing soft tissue infectionsA prospective observational cohort study: Statistical analysis plan by Rosen, A, Arnell, P, Madsen, MB, Nedrebo, BG, Norrby-Teglund, A, Hyldegaard, O, dos, Santos VM, Bergey, F, Saccenti, E, Skrede, S

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Refined karyotype-based prognostic stratification of chronic lymphocytic leukemia with a low- and very-low-risk genetic profile by Giudice, I Del, Rigolin, G M, Raponi, S, Cafforio, L, Ilari, C, Wang, J, Bordyuh, M, Piciocchi, A, Marinelli, M, Nanni, M, Tavolaro, S, Filetti, M, Bardi, A, Tammiso, E, Volta, E, Negrini, M, Saccenti, E, Mauro, F R, Rossi, D, Gaidano, G, Guarini, A, Rabadan, R, Cuneo, A, Foà, R

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Proliferation centers in chronic lymphocytic leukemia: correlation with cytogenetic and clinicobiological features in consecutive patients analyzed on tissue microarrays by Ciccone, M, Agostinelli, C, Rigolin, G M, Piccaluga, P P, Cavazzini, F, Righi, S, Sista, M T, Sofritti, O, Rizzotto, L, Sabattini, E, Fioritoni, G, Falorio, S, Stelitano, C, Olivieri, A, Attolico, I, Brugiatelli, M, Zinzani, P L, Saccenti, E, Capello, D, Negrini, M, Cuneo, A, Pileri, S

“…To better define the significance of proliferation centers (PCs), the morphological hallmark of chronic lymphocytic leukemia (CLL), lymph node biopsies taken…”
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Diabetes and necrotizing soft tissue infections—A prospective observational cohort study: Statistical analysis plan by Rosén, A., Arnell, P., Madsen, M. B., Nedrebø, B. G., Norrby‐Teglund, A., Hyldegaard, O., dos Santos, V. M., Bergey, F., Saccenti, E., Skrede, S., Trogen, Joakim, Aronsson, Sara, Sandström, Göran, Rosemar, Anders, Karlsson, Ylva, Nekludov, Michael, Helledie, Gladis, Hedetoft, Morten, Hansen, Bo, Polzik, Peter

“…Background Necrotizing soft tissue infections (NSTIs) are rare but carry a high morbidity and mortality. The multicenter INFECT project aims to improve the…”
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Correlation Patterns in Experimental Data Are Affected by Normalization Procedures: Consequences for Data Analysis and Network Inference by Saccenti, Edoardo

“…Normalization is a fundamental step in data processing to account for the sample-to-sample variation observed in biological samples. However, data structure is…”
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All sparse PCA models are wrong, but some are useful. Part I: Computation of scores, residuals and explained variance by Camacho, J., Smilde, A.K., Saccenti, E., Westerhuis, J.A.

“…Sparse Principal Component Analysis (sPCA) is a popular matrix factorization approach based on Principal Component Analysis (PCA) that combines variance…”
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Determining the number of components in principal components analysis: A comparison of statistical, crossvalidation and approximated methods by Saccenti, Edoardo, Camacho, José

“…Principal component analysis is one of the most commonly used multivariate tools to describe and summarize data. Determining the optimal number of components…”
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All sparse PCA models are wrong, but some are useful. Part II: Limitations and problems of deflation by Camacho, J., Smilde, A.K., Saccenti, E., Westerhuis, J.A., Bro, Rasmus

“…Sparse Principal Component Analysis (sPCA) is a popular matrix factorization approach based on Principal Component Analysis (PCA). It combines variance…”
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Allostasis and Resilience of the Human Individual Metabolic Phenotype by Ghini, Veronica, Saccenti, Edoardo, Tenori, Leonardo, Assfalg, Michael, Luchinat, Claudio

“…The urine metabotype of 12 individuals was followed over a period of 8–10 years, which provided the longest longitudinal study of metabolic phenotypes to date…”
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Effects of Sample Size and Dimensionality on the Performance of Four Algorithms for Inference of Association Networks in Metabonomics by Suarez-Diez, Maria, Saccenti, Edoardo

“…We investigated the effect of sample size and dimensionality on the performance of four algorithms (ARACNE, CLR, CORR, and PCLRC) when they are used for the…”
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Systems Biology and Biomarkers in Necrotizing Soft Tissue Infections by Saccenti, Edoardo, Svensson, Mattias

“…In necrotizing soft tissue infection (NSTI) there is a need to identify biomarker sets that can be used for diagnosis and disease management. The INFECT study…”
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On the use of the observation-wise k-fold operation in PCA cross-validation by Saccenti, Edoardo, Camacho, José

“…Cross‐validation (CV) is a common approach for determining the optimal number of components in a principal component analysis model. To guarantee the…”
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Patient’s characteristics and outcomes in necrotising soft-tissue infections: results from a Scandinavian, multicentre, prospective cohort study by Madsen, Martin Bruun, Skrede, Steinar, Perner, Anders, Arnell, Per, Nekludov, Michael, Bruun, Trond, Karlsson, Ylva, Hansen, Marco Bo, Polzik, Peter, Hedetoft, Morten, Rosén, Anders, Saccenti, Edoardo, Bergey, François, Martins dos Santos, Vitor A. P., Norrby-Teglund, Anna, Hyldegaard, Ole

“…Purpose Necrotising soft-tissue infections (NSTI) are characterised by necrosis, fast progression, and high rates of morbidity and mortality, but our knowledge…”
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