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Machine learning methods for predictive proteomics.
Barla A, Jurman G, Riccadonna S, Merler S, Chierici M, Furlanello C. Barla A, et al. Among authors: chierici m. Brief Bioinform. 2008 Mar;9(2):119-28. doi: 10.1093/bib/bbn008. Epub 2008 Feb 29. Brief Bioinform. 2008. PMID: 18310105 Review.
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: chierici m. 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.
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.
Zhang W, Yu Y, Hertwig F, Thierry-Mieg J, Zhang W, Thierry-Mieg D, Wang J, Furlanello C, Devanarayan V, Cheng J, Deng Y, Hero B, Hong H, Jia M, Li L, Lin SM, Nikolsky Y, Oberthuer A, Qing T, Su Z, Volland R, Wang C, Wang MD, Ai J, Albanese D, Asgharzadeh S, Avigad S, Bao W, Bessarabova M, Brilliant MH, Brors B, Chierici M, Chu TM, Zhang J, Grundy RG, He MM, Hebbring S, Kaufman HL, Lababidi S, Lancashire LJ, Li Y, Lu XX, Luo H, Ma X, Ning B, Noguera R, Peifer M, Phan JH, Roels F, Rosswog C, Shao S, Shen J, Theissen J, Tonini GP, Vandesompele J, Wu PY, Xiao W, Xu J, Xu W, Xuan J, Yang Y, Ye Z, Dong Z, Zhang KK, Yin Y, Zhao C, Zheng Y, Wolfinger RD, Shi T, Malkas LH, Berthold F, Wang J, Tong W, Shi L, Peng Z, Fischer M. Zhang W, et al. Among authors: chierici m. Genome Biol. 2015 Jun 25;16(1):133. doi: 10.1186/s13059-015-0694-1. Genome Biol. 2015. PMID: 26109056 Free PMC article.
Identification of GALNT14 as a novel neuroblastoma predisposition gene.
De Mariano M, Gallesio R, Chierici M, Furlanello C, Conte M, Garaventa A, Croce M, Ferrini S, Tonini GP, Longo L. De Mariano M, et al. Among authors: chierici m. Oncotarget. 2015 Sep 22;6(28):26335-46. doi: 10.18632/oncotarget.4501. Oncotarget. 2015. PMID: 26309160 Free PMC article.
PD-L1 Is a Therapeutic Target of the Bromodomain Inhibitor JQ1 and, Combined with HLA Class I, a Promising Prognostic Biomarker in Neuroblastoma.
Melaiu O, Mina M, Chierici M, Boldrini R, Jurman G, Romania P, D'Alicandro V, Benedetti MC, Castellano A, Liu T, Furlanello C, Locatelli F, Fruci D. Melaiu O, et al. Among authors: chierici m. Clin Cancer Res. 2017 Aug 1;23(15):4462-4472. doi: 10.1158/1078-0432.CCR-16-2601. Epub 2017 Mar 7. Clin Cancer Res. 2017. PMID: 28270499
Phylogenetic convolutional neural networks in metagenomics.
Fioravanti D, Giarratano Y, Maggio V, Agostinelli C, Chierici M, Jurman G, Furlanello C. Fioravanti D, et al. Among authors: chierici m. BMC Bioinformatics. 2018 Mar 8;19(Suppl 2):49. doi: 10.1186/s12859-018-2033-5. BMC Bioinformatics. 2018. PMID: 29536822 Free PMC article.
69 results