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Items: 24

1.

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.

Molecules. 2019 Aug 9;24(16). pii: E2896. doi: 10.3390/molecules24162896.

2.

Stability in GRN Inference.

Jurman G, Filosi M, Visintainer R, Riccadonna S, Furlanello C.

Methods Mol Biol. 2019;1883:323-346. doi: 10.1007/978-1-4939-8882-2_14.

PMID:
30547407
3.

Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies.

Ulaszewska MM, Weinert CH, Trimigno A, Portmann R, Andres Lacueva C, Badertscher R, Brennan L, Brunius C, Bub A, Capozzi F, Cialiè Rosso M, Cordero CE, Daniel H, Durand S, Egert B, Ferrario PG, Feskens EJM, Franceschi P, Garcia-Aloy M, Giacomoni F, Giesbertz P, González-Domínguez R, Hanhineva K, Hemeryck LY, Kopka J, Kulling SE, Llorach R, Manach C, Mattivi F, Migné C, Münger LH, Ott B, Picone G, Pimentel G, Pujos-Guillot E, Riccadonna S, Rist MJ, Rombouts C, Rubert J, Skurk T, Sri Harsha PSC, Van Meulebroek L, Vanhaecke L, Vázquez-Fresno R, Wishart D, Vergères G.

Mol Nutr Food Res. 2019 Jan;63(1):e1800384. doi: 10.1002/mnfr.201800384. Epub 2018 Oct 11. Review.

PMID:
30176196
4.

Data Treatment for LC-MS Untargeted Analysis.

Riccadonna S, Franceschi P.

Methods Mol Biol. 2018;1738:27-39. doi: 10.1007/978-1-4939-7643-0_3.

PMID:
29654581
5.

A practical tool for maximal information coefficient analysis.

Albanese D, Riccadonna S, Donati C, Franceschi P.

Gigascience. 2018 Apr 1;7(4):1-8. doi: 10.1093/gigascience/giy032.

6.

Transcriptome and Cell Physiological Analyses in Different Rice Cultivars Provide New Insights Into Adaptive and Salinity Stress Responses.

Formentin E, Sudiro C, Perin G, Riccadonna S, Barizza E, Baldoni E, Lavezzo E, Stevanato P, Sacchi GA, Fontana P, Toppo S, Morosinotto T, Zottini M, Lo Schiavo F.

Front Plant Sci. 2018 Mar 5;9:204. doi: 10.3389/fpls.2018.00204. eCollection 2018.

7.

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.

Front Plant Sci. 2017 Sep 5;8:1524. doi: 10.3389/fpls.2017.01524. eCollection 2017.

8.

Management of colovesical and colovaginal diverticular fistulas Our experience and literature reviewed.

Marcucci T, Giannessi S, Giudici F, Riccadonna S, Gori A, Tonelli F.

Ann Ital Chir. 2017;88:55-61. Review.

PMID:
28447967
9.

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.

Bioinformatics. 2017 Feb 1;33(3):453-455. doi: 10.1093/bioinformatics/btw636.

10.

Discovery of A-type procyanidin dimers in yellow raspberries by untargeted metabolomics and correlation based data analysis.

Carvalho E, Franceschi P, Feller A, Herrera L, Palmieri L, Arapitsas P, Riccadonna S, Martens S.

Metabolomics. 2016;12(9):144. doi: 10.1007/s11306-016-1090-x. Epub 2016 Aug 8.

11.

DTW-MIC Coexpression Networks from Time-Course Data.

Riccadonna S, Jurman G, Visintainer R, Filosi M, Furlanello C.

PLoS One. 2016 Mar 31;11(3):e0152648. doi: 10.1371/journal.pone.0152648. eCollection 2016.

12.

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance.

Wang C, Gong B, Bushel PR, 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 PP, Kreil DP, Megherbi D, Gaj S, Caiment F, van Delft J, Kleinjans J, Scherer A, Devanarayan V, Wang J, Yang Y, Qian HR, Lancashire LJ, Bessarabova M, Nikolsky Y, Furlanello C, Chierici M, Albanese D, Jurman G, Riccadonna S, Filosi M, Visintainer R, Zhang KK, Li J, Hsieh JH, Svoboda DL, Fuscoe JC, Deng Y, Shi L, Paules RS, Auerbach SS, Tong W.

Nat Biotechnol. 2014 Sep;32(9):926-32. doi: 10.1038/nbt.3001. Epub 2014 Aug 24.

13.

Stability indicators in network reconstruction.

Filosi M, Visintainer R, Riccadonna S, Jurman G, Furlanello C.

PLoS One. 2014 Feb 27;9(2):e89815. doi: 10.1371/journal.pone.0089815. eCollection 2014.

14.

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.

Immunobiology. 2013 Nov;218(11):1428-37. doi: 10.1016/j.imbio.2013.07.002. Epub 2013 Jul 13. Review.

PMID:
23932568
15.

[Self expandable metal stent as bridge-to-surgery in acute bowel obstruction].

Giannessi S, Paroli GM, Fedi M, Riccadonna S, Gori A, Lombardi M, Colugnat D, Da Massa Carrara P, De Carli V.

Minerva Chir. 2013 Jun;68(3):299-306. Italian.

PMID:
23774095
16.

Characterization of ibodutant at NK(2) receptor in human colon.

Santicioli P, Meini S, Giuliani S, Catalani C, Bechi P, Riccadonna S, Ringressi MN, Maggi CA.

Eur J Pharmacol. 2013 Feb 28;702(1-3):32-7. doi: 10.1016/j.ejphar.2013.01.021. Epub 2013 Jan 29.

PMID:
23376417
17.

Minerva and minepy: a C engine for the MINE suite and its R, Python and MATLAB wrappers.

Albanese D, Filosi M, Visintainer R, Riccadonna S, Jurman G, Furlanello C.

Bioinformatics. 2013 Feb 1;29(3):407-8. doi: 10.1093/bioinformatics/bts707. Epub 2012 Dec 14.

PMID:
23242262
18.

Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.

Sanz-Pamplona R, Berenguer A, Cordero D, Riccadonna S, Solé X, Crous-Bou M, Guinó E, Sanjuan X, Biondo S, Soriano A, Jurman G, Capella G, Furlanello C, Moreno V.

PLoS One. 2012;7(11):e48877. doi: 10.1371/journal.pone.0048877. Epub 2012 Nov 7. Review.

19.

A comparison of MCC and CEN error measures in multi-class prediction.

Jurman G, Riccadonna S, Furlanello C.

PLoS One. 2012;7(8):e41882. doi: 10.1371/journal.pone.0041882. Epub 2012 Aug 8.

20.

Algebraic comparison of partial lists in bioinformatics.

Jurman G, Riccadonna S, Visintainer R, Furlanello C.

PLoS One. 2012;7(5):e36540. doi: 10.1371/journal.pone.0036540. Epub 2012 May 17.

21.

Effect of otilonium bromide and ibodutant on the internalization of the NK2 receptor in human colon.

Cipriani G, Santicioli P, Evangelista S, Maggi CA, Riccadonna S, Ringressi MN, Bechi P, Faussone-Pellegrini MS, Vannucchi MG.

Neurogastroenterol Motil. 2011 Jan;23(1):96-102, e10. doi: 10.1111/j.1365-2982.2010.01594.x.

PMID:
20879991
22.

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.

Shi L, Campbell G, Jones WD, Campagne F, Wen Z, Walker SJ, Su Z, Chu TM, Goodsaid FM, Pusztai L, Shaughnessy JD Jr, Oberthuer A, Thomas RS, Paules RS, Fielden M, Barlogie B, Chen W, Du P, Fischer M, Furlanello C, Gallas BD, Ge X, Megherbi DB, Symmans WF, Wang MD, Zhang J, Bitter H, Brors B, Bushel PR, Bylesjo M, Chen M, Cheng J, Cheng J, Chou J, Davison TS, Delorenzi M, Deng Y, Devanarayan V, Dix DJ, Dopazo J, Dorff KC, Elloumi F, Fan J, Fan S, Fan X, Fang H, Gonzaludo N, Hess KR, Hong H, Huan J, Irizarry RA, Judson R, Juraeva D, Lababidi S, Lambert CG, Li L, Li Y, Li Z, Lin SM, Liu G, Lobenhofer EK, Luo J, Luo W, McCall MN, Nikolsky Y, Pennello GA, Perkins RG, Philip R, Popovici V, Price ND, Qian F, Scherer A, Shi T, Shi W, Sung J, Thierry-Mieg D, Thierry-Mieg J, Thodima V, Trygg J, Vishnuvajjala L, Wang SJ, Wu J, Wu Y, Xie Q, Yousef WA, Zhang L, Zhang X, Zhong S, Zhou Y, Zhu S, Arasappan D, Bao W, Lucas AB, Berthold F, Brennan RJ, Buness A, Catalano JG, Chang C, Chen R, Cheng Y, Cui J, Czika W, Demichelis F, Deng X, Dosymbekov D, Eils R, Feng Y, Fostel J, Fulmer-Smentek S, Fuscoe JC, Gatto L, Ge W, Goldstein DR, Guo L, Halbert DN, Han J, Harris SC, Hatzis C, Herman D, Huang J, Jensen RV, Jiang R, Johnson CD, Jurman G, Kahlert Y, Khuder SA, Kohl M, Li J, Li L, Li M, Li QZ, Li S, Li Z, Liu J, Liu Y, Liu Z, Meng L, Madera M, Martinez-Murillo F, Medina I, Meehan J, Miclaus K, Moffitt RA, Montaner D, Mukherjee P, Mulligan GJ, Neville P, Nikolskaya T, Ning B, Page GP, Parker J, Parry RM, Peng X, Peterson RL, Phan JH, Quanz B, Ren Y, Riccadonna S, Roter AH, Samuelson FW, Schumacher MM, Shambaugh JD, Shi Q, Shippy R, Si S, Smalter A, Sotiriou C, Soukup M, Staedtler F, Steiner G, Stokes TH, Sun Q, Tan PY, Tang R, Tezak Z, Thorn B, Tsyganova M, Turpaz Y, Vega SC, Visintainer R, von Frese J, Wang C, Wang E, Wang J, Wang W, Westermann F, Willey JC, Woods M, Wu S, Xiao N, Xu J, Xu L, Yang L, Zeng X, Zhang J, Zhang L, Zhang M, Zhao C, Puri RK, Scherf U, Tong W, Wolfinger RD; MAQC Consortium.

Nat Biotechnol. 2010 Aug;28(8):827-38. doi: 10.1038/nbt.1665. Epub 2010 Jul 30.

23.

Machine learning methods for predictive proteomics.

Barla A, Jurman G, Riccadonna S, Merler S, Chierici M, Furlanello C.

Brief Bioinform. 2008 Mar;9(2):119-28. doi: 10.1093/bib/bbn008. Epub 2008 Feb 29. Review.

PMID:
18310105
24.

An interactive real-time visualization environment for patients with heart failure.

Purin B, Rigo M, Riccadonna S, Forti S.

AMIA Annu Symp Proc. 2005:1088.

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