Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Bringing Cell Subpopulation Discovery on a Cloud-HPC Using rCASC and StreamFlow.

Autor: Contaldo SG; Department of Computer Science, University of Turin, Turin, Italy., Alessandri L; Molecular Biotechnology Center, University of Turin, Turin, Italy. l.alessandri@unito.it., Colonnelli I; Department of Computer Science, University of Turin, Turin, Italy., Beccuti M; Department of Computer Science, University of Turin, Turin, Italy., Aldinucci M; Department of Computer Science, University of Turin, Turin, Italy.

Publikováno v: Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2584, pp. 337-345.

A single cell RNAseq benchmark experiment embedding "controlled" cancer heterogeneity.

Autor: Arigoni M; Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy., Ratto ML; Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy., Riccardo F; Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy., Balmas E; Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy., Calogero L; Department of Electronics and Telecommunications (DET), Politecnico di Torino, Torino, Italy., Cordero F; Department of Computer Science, University of Torino, Torino, Italy., Beccuti M; Department of Computer Science, University of Torino, Torino, Italy., Calogero RA; Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy. raffaele.calogero@unito.it., Alessandri L; Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.

Publikováno v: Scientific data [Sci Data] 2024 Feb 02; Vol. 11 (1), pp. 159. Date of Electronic Publication: 2024 Feb 02.

A new computational workflow to guide personalized drug therapy.

Autor: Pernice S; Department of Computer Science, University of Turin, Corso Svizzera 185, Turin, 10149, Italy; CINI Infolife laboratory, Turin, Italy., Maglione A; Department of Clinical and Biological Sciences, Regione Gonzole 10, Orbassano, 10043, Italy., Tortarolo D; Department of Computer Science, University of Turin, Corso Svizzera 185, Turin, 10149, Italy., Sirovich R; Department of Mathematics, University of Turin, Via Carlo Alberto 10, Turin, 10123, Italy., Clerico M; Department of Clinical and Biological Sciences, Regione Gonzole 10, Orbassano, 10043, Italy., Rolla S; Department of Clinical and Biological Sciences, Regione Gonzole 10, Orbassano, 10043, Italy. Electronic address: simona.rolla@unito.it., Beccuti M; Department of Computer Science, University of Turin, Corso Svizzera 185, Turin, 10149, Italy; CINI Infolife laboratory, Turin, Italy., Cordero F; Department of Computer Science, University of Turin, Corso Svizzera 185, Turin, 10149, Italy; CINI Infolife laboratory, Turin, Italy.

Publikováno v: Journal of biomedical informatics [J Biomed Inform] 2023 Dec; Vol. 148, pp. 104546. Date of Electronic Publication: 2023 Nov 19.

CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system.

Autor: Pernice S; Department of Computer Science, University of Torino, Torino 10149, Italy., Sirovich R; Department of Mathematics G. Peano, University of Torino, Torino 10123, Italy., Grassi E; Candiolo Cancer Institute, FPO IRCCS, Candiolo 10060, Italy.; Department of Oncology, University of Torino, Torino 10060, Italy., Viviani M; Candiolo Cancer Institute, FPO IRCCS, Candiolo 10060, Italy.; Department of Oncology, University of Torino, Torino 10060, Italy., Ferri M; Candiolo Cancer Institute, FPO IRCCS, Candiolo 10060, Italy.; Department of Oncology, University of Torino, Torino 10060, Italy., Sassi F; Candiolo Cancer Institute, FPO IRCCS, Candiolo 10060, Italy., Alessandrì L; Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy., Tortarolo D; Department of Computer Science, University of Torino, Torino 10149, Italy., Calogero RA; Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino 10126, Italy., Trusolino L; Candiolo Cancer Institute, FPO IRCCS, Candiolo 10060, Italy.; Department of Oncology, University of Torino, Torino 10060, Italy., Bertotti A; Candiolo Cancer Institute, FPO IRCCS, Candiolo 10060, Italy.; Department of Oncology, University of Torino, Torino 10060, Italy., Beccuti M; Department of Computer Science, University of Torino, Torino 10149, Italy., Olivero M; Candiolo Cancer Institute, FPO IRCCS, Candiolo 10060, Italy.; Department of Oncology, University of Torino, Torino 10060, Italy., Cordero F; Department of Computer Science, University of Torino, Torino 10149, Italy.

Publikováno v: Bioinformatics (Oxford, England) [Bioinformatics] 2023 May 04; Vol. 39 (5).