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DTW-MIC Coexpression Networks from Time-Course Data.
Riccadonna S, Jurman G, Visintainer R, Filosi M, Furlanello C. Riccadonna S, et al. PLoS One. 2016 Mar 31;11(3):e0152648. doi: 10.1371/journal.pone.0152648. eCollection 2016. PLoS One. 2016. PMID: 27031641 Free PMC article.
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. Formentin E, et al. Among authors: riccadonna s. Front Plant Sci. 2018 Mar 5;9:204. doi: 10.3389/fpls.2018.00204. eCollection 2018. Front Plant Sci. 2018. PMID: 29556243 Free PMC article.
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. Wang C, et al. Among authors: riccadonna s. Nat Biotechnol. 2014 Sep;32(9):926-32. doi: 10.1038/nbt.3001. Epub 2014 Aug 24. Nat Biotechnol. 2014. PMID: 25150839 Free PMC article.
Stability in GRN Inference.
Jurman G, Filosi M, Visintainer R, Riccadonna S, Furlanello C. Jurman G, et al. Among authors: riccadonna s. Methods Mol Biol. 2019;1883:323-346. doi: 10.1007/978-1-4939-8882-2_14. Methods Mol Biol. 2019. PMID: 30547407
Data Treatment for LC-MS Untargeted Analysis.
Riccadonna S, Franceschi P. Riccadonna S, et al. Methods Mol Biol. 2018;1738:27-39. doi: 10.1007/978-1-4939-7643-0_3. Methods Mol Biol. 2018. PMID: 29654581
27 results