Francesco G. Brundu
While earning his PhD at Politecnico di Torino, Francesco collaborated with the Candiolo Cancer Research Institute and the Academical Medical Center in Amsterdam, with a specific focus on the stratification of Colorectal Cancer through gene expression and copy number variation analysis. Francesco joined the Rabadan lab in September of 2017. His current research interests focus on the analysis of genomic variation through computational tools.
PhD, Politecnico di Torino Computer Engineering
MSc, Politecnico di Torino Computer Engineering
BSc, Politecnico di Torino Computer Engineering
Isella C, Brundu F, Bellomo SE, Galimi F, Zanella E, Porporato R, Petti C, Fiori A, Orzan F, Senetta R, Boccaccio C. Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer. Nature Communications. 2017;8.
Bertotti A, Isella C, Sara E, Brundu FG, Galimi F, Ficarra E, Trusolino L, Medico E. Unsupervised analysis of cancer-cell intrinsic transcriptional traits defines a new classification system for colorectal cancer with improved predictive and prognostic value. Cancer Research. 2016;76(14):107-.
Fiori A, Grand A, Bruno G, Brundu FG, Schioppa D, Bertotti A. Information Extraction from Microarray Data: a survey of data mining techniques. InBusiness Intelligence: Concepts, Methodologies, Tools, and Applications 2016 (pp. 1180-1211). IGI Global.
Fiori A, Grand A, Alberto P, Geda E, Brundu FG, Schioppa D, Bertotti A. A Case Study of a Laboratory Information System Developed at the Institute for Cancer Research at Candiolo. InLaboratory Management Information Systems: Current Requirements and Future Perspectives 2015 (pp. 252-279). IGI Global.
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