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Protease target prediction via matrix factorization.
Marini S, Vitali F, Rampazzi S, Demartini A, Akutsu T. Marini S, et al. Bioinformatics. 2019 Mar 15;35(6):923-929. doi: 10.1093/bioinformatics/bty746. Bioinformatics. 2019. PMID: 30169576
Exploring Wound-Healing Genomic Machinery with a Network-Based Approach.
Vitali F, Marini S, Balli M, Grosemans H, Sampaolesi M, Lussier YA, Cusella De Angelis MG, Bellazzi R. Vitali F, et al. Among authors: marini s. Pharmaceuticals (Basel). 2017 Jun 21;10(2):55. doi: 10.3390/ph10020055. Pharmaceuticals (Basel). 2017. PMID: 28635674 Free PMC article.
A Genome-Wide Association Study of Diabetic Kidney Disease in Subjects With Type 2 Diabetes.
van Zuydam NR, Ahlqvist E, Sandholm N, Deshmukh H, Rayner NW, Abdalla M, Ladenvall C, Ziemek D, Fauman E, Robertson NR, McKeigue PM, Valo E, Forsblom C, Harjutsalo V; Finnish Diabetic Nephropathy Study (FinnDiane); Perna A, Rurali E, Marcovecchio ML, Igo RP Jr, Salem RM, Perico N, Lajer M, Käräjämäki A, Imamura M, Kubo M, Takahashi A, Sim X, Liu J, van Dam RM, Jiang G, Tam CHT, Luk AOY, Lee HM, Lim CKP, Szeto CC, So WY, Chan JCN; Hong Kong Diabetes Registry Theme-based Research Scheme Project Group; Ang SF, Dorajoo R, Wang L, Clara TSH, McKnight AJ, Duffy S; Warren 3 and Genetics of Kidneys in Diabetes (GoKinD) Study Group; Pezzolesi MG; GENIE (GEnetics of Nephropathy an International Effort) Consortium; Marre M, Gyorgy B, Hadjadj S, Hiraki LT; Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group; Ahluwalia TS, Almgren P, Schulz CA, Orho-Melander M, Linneberg A, Christensen C, Witte DR, Grarup N, Brandslund I, Melander O, Paterson AD, Tregouet D, Maxwell AP, Lim SC, Ma RCW, Tai ES, Maeda S, Lyssenko V, Tuomi T, Krolewski AS, Rich SS, Hirschhorn JN, Florez JC, Dunger D, Pedersen O, Hansen T, Rossing P, Remuzz… See abstract for full author list ➔ van Zuydam NR, et al. Diabetes. 2018 Jul;67(7):1414-1427. doi: 10.2337/db17-0914. Epub 2018 Apr 27. Diabetes. 2018. PMID: 29703844 Free PMC article.
Machine Learning Methods to Predict Diabetes Complications.
Dagliati A, Marini S, Sacchi L, Cogni G, Teliti M, Tibollo V, De Cata P, Chiovato L, Bellazzi R. Dagliati A, et al. Among authors: marini s. J Diabetes Sci Technol. 2018 Mar;12(2):295-302. doi: 10.1177/1932296817706375. Epub 2017 May 12. J Diabetes Sci Technol. 2018. PMID: 28494618 Free PMC article.
484 results