Publications by authors named "Samantha Riccadonna"

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Two-omics data revealed commonalities and differences between Rpv12- and Rpv3-mediated resistance in grapevine.
Giulia Chitarrini, Samantha Riccadonna, Luca Zulini, Antonella Vecchione, Marco Stefanini

Sci Rep· July 2020

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Two apples a day lower serum cholesterol and improve cardiometabolic biomarkers in mildly hypercholesterolemic adults: a randomized, controlled, crossover trial.
Athanasios Koutsos, Samantha Riccadonna, Maria M Ulaszewska, Pietro Franceschi, Kajetan Trošt

Am J Clin Nutr· February 2020

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Complementary Untargeted and Targeted Metabolomics for Differentiation of Extra Virgin Olive Oils of Different Origin of Purchase Based on Volatile and Phenolic Composition and Sensory Quality.
Alessio Da Ros, Domenico Masuero, Samantha Riccadonna, Karolina Brkić Bubola, Nadia Mulinacci

Molecules· August 2019

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Stability in GRN Inference.
Giuseppe Jurman, Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Cesare Furlanello

Methods Mol Biol· June 2019

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Data Treatment for LC-MS Untargeted Analysis.
Samantha Riccadonna, Pietro Franceschi

Methods Mol Biol· January 2019

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Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies.
Marynka M Ulaszewska, Christoph H Weinert, Alessia Trimigno, Reto Portmann, Cristina Andres Lacueva, Samantha Riccadonna

Mol Nutr Food Res· January 2019

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A practical tool for maximal information coefficient analysis.
Davide Albanese, Samantha Riccadonna, Claudio Donati, Pietro Franceschi

Gigascience· April 2018

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Transcriptome and Cell Physiological Analyses in Different Rice Cultivars Provide New Insights Into Adaptive and Salinity Stress Responses.
Elide Formentin, Cristina Sudiro, Giorgio Perin, Samantha Riccadonna, Elisabetta Barizza

Front Plant Sci· March 2018

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Identification of Biomarkers for Defense Response to in a Resistant Grape Variety.
Giulia Chitarrini, Evelyn Soini, Samantha Riccadonna, Pietro Franceschi, Luca Zulini

Front Plant Sci· September 2017

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Pathway Inspector: a pathway based web application for RNAseq analysis of model and non-model organisms.
Luca Bianco, Samantha Riccadonna, Enrico Lavezzo, Marco Falda, Elide Formentin

Bioinformatics· February 2017

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DTW-MIC Coexpression Networks from Time-Course Data.
Samantha Riccadonna, Giuseppe Jurman, Roberto Visintainer, Michele Filosi, Cesare Furlanello

PLoS One· August 2016

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Discovery of A-type procyanidin dimers in yellow raspberries by untargeted metabolomics and correlation based data analysis.
Elisabete Carvalho, Pietro Franceschi, Antje Feller, Lorena Herrera, Luisa Palmieri, Samantha Riccadonna

Metabolomics· August 2016

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Stability indicators in network reconstruction.
Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman, Cesare Furlanello

PLoS One· October 2014

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The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.
Charles Wang, Binsheng Gong, Pierre R Bushel, Jean Thierry-Mieg, Danielle Thierry-Mieg, Samantha Riccadonna

Nat Biotechnol· September 2014

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Systems biology of host-mycobiota interactions: dissecting Dectin-1 and Dectin-2 signalling in immune cells with DC-ATLAS.
Lisa Rizzetto, Carlotta De Filippo, Damariz Rivero, Samantha Riccadonna, Luca Beltrame

Immunobiology· November 2013

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Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.
Rebeca Sanz-Pamplona, Antoni Berenguer, David Cordero, Samantha Riccadonna, Xavier Solé

PLoS One· May 2013

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A comparison of MCC and CEN error measures in multi-class prediction.
Giuseppe Jurman, Samantha Riccadonna, Cesare Furlanello

PLoS One· February 2013

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Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers.
Davide Albanese, Michele Filosi, Roberto Visintainer, Samantha Riccadonna, Giuseppe Jurman

Bioinformatics· February 2013

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Algebraic comparison of partial lists in bioinformatics.
Giuseppe Jurman, Samantha Riccadonna, Roberto Visintainer, Cesare Furlanello

PLoS One· September 2012

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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.
Leming Shi, Gregory Campbell, Wendell D Jones, Fabien Campagne, Zhining Wen, Samantha Riccadonna

Nat Biotechnol· August 2010

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Machine learning methods for predictive proteomics.
Annalisa Barla, Giuseppe Jurman, Samantha Riccadonna, Stefano Merler, Marco Chierici

Brief Bioinform· March 2008

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An interactive real-time visualization environment for patients with heart failure.
Barbara Purin, Manuela Rigo, Samantha Riccadonna, Stefano Forti

AMIA Annu Symp Proc· February 2007

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