RICCADONNA, SAMANTHA
A Machine learning pipeline for identification of discriminant pathways
2014-01-01 Barla, A.; Jurman, G.; Visintainer, R.; Squillario, M.; Filosi, M.; Riccadonna, S.; Furlanello, C.
A practical tool for maximal information coefficient analysis
2018-01-01 Albanese, D.; Riccadonna, S.; Donati, C.; Franceschi, P.
Chemometric strategies in analysis of chromatographic-mass spectrometry data
2018-01-01 Riccadonna, S.; Franceschi, P.
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
2019-01-01 Da Ros, A.; Masuero, D.; Riccadonna, S.; Brkić Bubola, K.; Mulinacci, N.; Mattivi, F.; Lukić, I.; Vrhovsek, U.
Data treatment for LC-MS untargeted analysis
2018-01-01 Riccadonna, S.; Franceschi, P.
Differential network analysis and graph classification: a glocal approach
2016-01-01 Jurman, G.; Filosi, M.; Riccadonna, S.; Visintainer, R.; Furlanello, C.
Discovery of A-type procyanidin dimers in yellow raspberries by untargeted metabolomics and correlation based data analysis
2016-01-01 Carvalho, E.; Franceschi, P.; Feller, A.C.; Herrera, L.; Palmieri, L.; Arapitsas, P.; Riccadonna, S.; Martens, S.
DTW-MIC coexpression networks from time-course data
2016-01-01 Riccadonna, S.; Jurman, G.; Visintainer, R.; Filosi, M.; Furlanello, C.
Identification of biomarkers for defense response to Plasmopara viticola in a resistant grape variety
2017-01-01 Chitarrini, G.; Soini, E.; Riccadonna, S.; Franceschi, P.; Zulini, L.; Masuero, D.; Vecchione, A.; Stefanini, M.; Di Gaspero, G.; Mattivi, F.; Vrhovsek, U.
Improvement of sea fennel (Crithmum maritimum L.) nutritional value through iodine biofortification in a hydroponic floating system
2019-01-01 Sarrou, E.; Siomos, A.S.; Riccadonna, S.; Aktsoglou, D.C.; Tsouvaltzis, P.; Angeli, A.; Franceschi, P.; Chatzopoulou, P.; Vrhovsek, U.; Martens, S.
Metabolomic study to evaluate the resistance against Plasmopara viticola
2018-01-01 Chitarrini, G.; Zulini, L.; Riccadonna, S.; Skrab, D.; Franceschi, P.; Robatscher, P.; Mattivi, F.; Vrhovsek, U.; Stefanini, M.
Nutrimetabolomics: an integrative action for metabolomic analyses in human nutritional studies
2019-01-01 Ulaszewska, M.M.; Weinert, C.; Trimigno, A.; Portmann, R.; Andres Lacueva, C.; Badertscher, R.; Brennan, L.; Brunius, C.; Bub, A.; Capozzi, F.; Rosso, M.; Cordero, C.; Daniel, H.; Durand, S.; Egert, B.; Ferrario, P.; Feskens, E.; Franceschi, P.; Garcia-Aloy, M.; Giacomoni, F.; Giesbertz, P.; González-Domínguez, R.; Hanhineva, K.; Hemeryck, L.; Kopka, J.; Kulling, S.; Llorach, R.; Manach, C.; Mattivi, F.; Migné, C.; Münger, L.; Ott, B.; Picone, G.; Pimentel, G.; Pujos-Guillot, E.; Riccadonna, S.; Rist, M.; Rombouts, C.; Rubert, J.; Skurk, T.; Pedapati, H.; Van, M.; L., V.; Vázquez-Fresno, R.; Wishart, D.; Vergères, G.
Parenting dimensions in mothers and fathers of children with Autism Spectrum Disorders
2014-01-01 Ozturk, Y.; Riccadonna, S.; Venuti, P.
Pathway Inspector: a pathway based web application for RNAseq analysis of model and non-model organisms
2017-01-01 Bianco, L.; Riccadonna, S.; Lavezzo, E.; Falda, M.; Formentin, E.; Cavalieri, D.; Toppo, S.; Fontana, P.
Projection to latent structures with orthogonal constraints for metabolomics data
2018-01-01 Stocchero, M.; Riccadonna, S.; Franceschi, P.
Stability in GRN inference
2019-01-01 Jurman, G.; Filosi, M.; Visintainer, R.; Riccadonna, S.; Furlanello, C.
Stability indicators in network reconstruction
2014-01-01 Filosi, M.; Visintainer, R.; Riccadonna, S.; Jurman, J.; Furlanello, C.
Systems biology of host-mycobiota interactions: dissecting Dectin-1 and Dectin-2 signalling in immune cells with DC-ATLAS
2013-01-01 Rizzetto, L.; De Filippo, C.; Rivero, D.; Riccadonna, S.; Beltrame, L.; Cavalieri, D.
The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance
2014-01-01 Wang, C.; Gong, B.; Bushel, P.R.; Thierry Mieg, J.; Thierry Mieg, D.; Xu, J.; Fang, H.; Hong, H.; Shen, J.; Su, Z.; Meehan, J.; Li, X.; Yang, L.; Li, H.; Łabaj, P.P.; Kreil, D.P.; Megherbi, D.; Gaj, S.; Caiment, F.; van Delft, J.; Kleinjans, J.; Scherer, A.; Devanarayan, V.; Wang, J.; Yang, Y.; Qian, H.R.; Lancashire, L.J.; Bessarabova, M.; Nikolsky, Y.; Furlanello, C.; Chierici, M.; Albanese, D.; Jurman, G.; Riccadonna, S.; Filosi, M.; Visintainer, R.; Zhang, K.K.; Li, J.; Hsieh, J.H.; Svoboda, D.L.; Fuscoe, J.C.; Deng, Y.; Shi, L.; Paules, R.S.; Auerbach, S.S.; Tong, W.
Transcriptome and cell physiological analyses in different rice cultivars provide novel insights into adaptive and salinity stress responses
2018-01-01 Formentin, E.; Sudiro, C.; Perin, G.; Riccadonna, S.; Barizza, E.; Baldoni, E.; Lavezzo, E.; Stevanato, P.; Sacchi, G.A.; Fontana, P.; Toppo, S.; Morosinotto, T.; Zottini, M.; Lo Schiavo, F.
| Data di pubblicazione | Titolo | Autore(i) | Tipo | File |
|---|---|---|---|---|
| 1-gen-2014 | A Machine learning pipeline for identification of discriminant pathways | Barla, A.; Jurman, G.; Visintainer, R.; Squillario, M.; Filosi, M.; Riccadonna, S.; Furlanello, C. | Contributo in volume (Capitolo o Saggio) | |
| 1-gen-2018 | A practical tool for maximal information coefficient analysis | Albanese, D.; Riccadonna, S.; Donati, C.; Franceschi, P. | Articolo in rivista | |
| 1-gen-2018 | Chemometric strategies in analysis of chromatographic-mass spectrometry data | Riccadonna, S.; Franceschi, P. | Contributo in volume (Capitolo o Saggio) | |
| 1-gen-2019 | 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 | Da Ros, A.; Masuero, D.; Riccadonna, S.; Brkić Bubola, K.; Mulinacci, N.; Mattivi, F.; Lukić, I.; Vrhovsek, U. | Articolo in rivista | |
| 1-gen-2018 | Data treatment for LC-MS untargeted analysis | Riccadonna, S.; Franceschi, P. | Contributo in volume (Capitolo o Saggio) | |
| 1-gen-2016 | Differential network analysis and graph classification: a glocal approach | Jurman, G.; Filosi, M.; Riccadonna, S.; Visintainer, R.; Furlanello, C. | Contributo in volume (Capitolo o Saggio) | |
| 1-gen-2016 | Discovery of A-type procyanidin dimers in yellow raspberries by untargeted metabolomics and correlation based data analysis | Carvalho, E.; Franceschi, P.; Feller, A.C.; Herrera, L.; Palmieri, L.; Arapitsas, P.; Riccadonna, S.; Martens, S. | Articolo in rivista | |
| 1-gen-2016 | DTW-MIC coexpression networks from time-course data | Riccadonna, S.; Jurman, G.; Visintainer, R.; Filosi, M.; Furlanello, C. | Articolo in rivista | |
| 1-gen-2017 | Identification of biomarkers for defense response to Plasmopara viticola in a resistant grape variety | Chitarrini, G.; Soini, E.; Riccadonna, S.; Franceschi, P.; Zulini, L.; Masuero, D.; Vecchione, A.; Stefanini, M.; Di Gaspero, G.; Mattivi, F.; Vrhovsek, U. | Articolo in rivista | |
| 1-gen-2019 | Improvement of sea fennel (Crithmum maritimum L.) nutritional value through iodine biofortification in a hydroponic floating system | Sarrou, E.; Siomos, A.S.; Riccadonna, S.; Aktsoglou, D.C.; Tsouvaltzis, P.; Angeli, A.; Franceschi, P.; Chatzopoulou, P.; Vrhovsek, U.; Martens, S. | Articolo in rivista | |
| 1-gen-2018 | Metabolomic study to evaluate the resistance against Plasmopara viticola | Chitarrini, G.; Zulini, L.; Riccadonna, S.; Skrab, D.; Franceschi, P.; Robatscher, P.; Mattivi, F.; Vrhovsek, U.; Stefanini, M. | Abstract in Atti di convegno | |
| 1-gen-2019 | Nutrimetabolomics: an integrative action for metabolomic analyses in human nutritional studies | Ulaszewska, M.M.; Weinert, C.; Trimigno, A.; Portmann, R.; Andres Lacueva, C.; Badertscher, R.; Brennan, L.; Brunius, C.; Bub, A.; Capozzi, F.; Rosso, M.; Cordero, C.; Daniel, H.; Durand, S.; Egert, B.; Ferrario, P.; Feskens, E.; Franceschi, P.; Garcia-Aloy, M.; Giacomoni, F.; Giesbertz, P.; González-Domínguez, R.; Hanhineva, K.; Hemeryck, L.; Kopka, J.; Kulling, S.; Llorach, R.; Manach, C.; Mattivi, F.; Migné, C.; Münger, L.; Ott, B.; Picone, G.; Pimentel, G.; Pujos-Guillot, E.; Riccadonna, S.; Rist, M.; Rombouts, C.; Rubert, J.; Skurk, T.; Pedapati, H.; Van, M.; L., V.; Vázquez-Fresno, R.; Wishart, D.; Vergères, G. | Articolo in rivista | |
| 1-gen-2014 | Parenting dimensions in mothers and fathers of children with Autism Spectrum Disorders | Ozturk, Y.; Riccadonna, S.; Venuti, P. | Articolo in rivista | |
| 1-gen-2017 | Pathway Inspector: a pathway based web application for RNAseq analysis of model and non-model organisms | Bianco, L.; Riccadonna, S.; Lavezzo, E.; Falda, M.; Formentin, E.; Cavalieri, D.; Toppo, S.; Fontana, P. | Articolo in rivista | |
| 1-gen-2018 | Projection to latent structures with orthogonal constraints for metabolomics data | Stocchero, M.; Riccadonna, S.; Franceschi, P. | Articolo in rivista | |
| 1-gen-2019 | Stability in GRN inference | Jurman, G.; Filosi, M.; Visintainer, R.; Riccadonna, S.; Furlanello, C. | Contributo in volume (Capitolo o Saggio) | |
| 1-gen-2014 | Stability indicators in network reconstruction | Filosi, M.; Visintainer, R.; Riccadonna, S.; Jurman, J.; Furlanello, C. | Articolo in rivista | |
| 1-gen-2013 | Systems biology of host-mycobiota interactions: dissecting Dectin-1 and Dectin-2 signalling in immune cells with DC-ATLAS | Rizzetto, L.; De Filippo, C.; Rivero, D.; Riccadonna, S.; Beltrame, L.; Cavalieri, D. | Articolo in rivista | |
| 1-gen-2014 | The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance | Wang, C.; Gong, B.; Bushel, P.R.; Thierry Mieg, J.; Thierry Mieg, D.; Xu, J.; Fang, H.; Hong, H.; Shen, J.; Su, Z.; Meehan, J.; Li, X.; Yang, L.; Li, H.; Łabaj, P.P.; Kreil, D.P.; Megherbi, D.; Gaj, S.; Caiment, F.; van Delft, J.; Kleinjans, J.; Scherer, A.; Devanarayan, V.; Wang, J.; Yang, Y.; Qian, H.R.; Lancashire, L.J.; Bessarabova, M.; Nikolsky, Y.; Furlanello, C.; Chierici, M.; Albanese, D.; Jurman, G.; Riccadonna, S.; Filosi, M.; Visintainer, R.; Zhang, K.K.; Li, J.; Hsieh, J.H.; Svoboda, D.L.; Fuscoe, J.C.; Deng, Y.; Shi, L.; Paules, R.S.; Auerbach, S.S.; Tong, W. | Articolo in rivista | |
| 1-gen-2018 | Transcriptome and cell physiological analyses in different rice cultivars provide novel insights into adaptive and salinity stress responses | Formentin, E.; Sudiro, C.; Perin, G.; Riccadonna, S.; Barizza, E.; Baldoni, E.; Lavezzo, E.; Stevanato, P.; Sacchi, G.A.; Fontana, P.; Toppo, S.; Morosinotto, T.; Zottini, M.; Lo Schiavo, F. | Articolo in rivista |