A. Pietracaprina, and F. Vandin. Efficient Incremental Mining
of Top-K Frequent Closed Itemsets. In Proc. International Conference on
Discovery Science (DS) 2007, LNCS 4755, pages 275-280,
2007. pdf
A. Kirsch, M. Mitzenmacher, A. Pietracaprina, G. Pucci, E. Upfal, and F. Vandin. An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets. In Proc. of 28th ACM Symposium on Principles of Database Systems (PODS'09), pages 117-226, 2009. pdf
R. Grossi, A. Pietracaprina, N. Pisanti, G. Pucci, E. Upfal, and F.
Vandin. MADMX: A Novel Strategy for Maximal Dense Motif
Extraction. In Proc.
9th Workshop on Algorithms in Bioinformatics, (WABI 2009),
LNCS 5724, pages 362-374. pdf software
F. Vandin, E. Upfal, and B. J. Raphael. Algorithms for
Detecting Significantly Mutated Pathways in Cancer. In Proc. 14th International Conference
on Research in Computational Molecular Biology (RECOMB) 2010,
LNCS 6044, pages 506-521, Lisbon (Portugal), 2010. pdf software
F. Vandin, E. Upfal, and B. J. Raphael. De novo Discovery of
Mutated Driver Pathways in Cancer. In Proc. 15th International Conference
on Research in Computational Molecular Biology (RECOMB), LNCS 6577, pages 499-500, 2011. pdf software
F. Vandin, E. Upfal, and B. J. Raphael. Finding Driver Pathways
in Cancer: Models and Algorithms. In Proc. 11th Workshop on Algorithms in Bioinformatics
(WABI 2011), LNCS 6833, pages 314-325. pdf
F. Vandin, P. Clay, E. Upfal, and B. J. Raphael. Discovery of
Mutated Subnetworks Associated with Clinical Data in
Cancer.In Proc. Pacific Symposium on
Biocomputing (PSB), 2012. pdf software
A. Anagnostopoulos, R. Kumar, M. Mahdian, E. Upfal, and F. Vandin.
Algorithms on Evolving Graphs.In
Proc. of 3rd Innovations in Theoretical Computer Science
(ITCS), pages 149-160, 2012.
pdf publisher link
L. He, F. Vandin, G. Pandurangan, and C. Bailey-Kellogg.
Ballast: A Ball-based Algorithm for Structural Motifs.In Proc. 16th International Conference on
Research in Computational Molecular Biology (RECOMB), LNCS 7262, pages 79-93, 2012.
publisher link
F. Vandin, A. Papoutsaki, B. Raphael, and E. Upfal.
Genome-Wide Survival Analysis of Somatic Mutations in Cancer.In Proceedings 17th International Conference on Research in Computational Molecular Biology (RECOMB), LNCS 7821, 2013, pp 285-286.
Best Paper Award publisher link software
A. Pietracaprina, G. Pucci, F. Silvestri, F. Vandin.
Space-Efficient Parallel Algorithms for Combinatorial Search Problems.In Proceedings 38th International Symposium on Mathematical Foundations of Computer Science (MFCS), 2013, accepted for publication.
full version on Arxiv (with omitted proofs)
B.J. Raphael, F. Vandin.
Simultaneous Inference of Cancer Pathways and Tumor Progression from Cross-Sectional Mutation Data.In Proceedings 7th Annual International Conference on Research in Computational Molecular Biology (RECOMB), 2014, accepted for publication.
M. Riondato, F. Vandin.
Finding the True Frequent Itemsets.In Proceedings SIAM International Conference on Data Mining (SDM), 2014, accepted for publication.
Journals
A. Pietracaprina, M. Riondato, E. Upfal, F. Vandin.
Mining Top-K Frequent Itemsets Through Progressive Sampling.
Data Mining and
Knowledge Discovery, ECML PKDD 2010 special issue, Volume 21,
Number 2, 2010. pdf
F. Vandin, E. Upfal, and B. J. Raphael. Algorithms for
Detecting Significantly Mutated Pathways in Cancer.
Journal of Computational
Biology, March 2011, 18(3): 507-522. pdf software
R. Grossi, A. Pietracaprina, N. Pisanti, G. Pucci, E. Upfal, and
F. Vandin. MADMX: A Strategy for Maximal Dense Motif
Extraction.
Journal of Computational Biology, April 2011, 18(4):
535-545. pdf software
F. Vandin, E. Upfal, and B. J. Raphael. De novo
Discovery of Mutated Driver Pathways in Cancer. Genome Research 22(2):375-85, 2012. Epub 2011 Jun 7. pdf preprint publisher link software
The Cancer Genome Atlas Project Research Network. Integrated
Genomic Analyses of Ovarian Carcinoma. Nature, 2011 Jun. 30;474(7353):609-15.
publisher link
F. Vandin, E. Upfal, B.J. Raphael. Algorithms and Genome Sequencing: Identifying Driver Pathways in Cancer. IEEE Computer, March 2012 (vol. 45, no. 3) pp.39-46.
pdf
A. Kirsch, M. Mitzenmacher, A. Pietracaprina, G. Pucci, E. Upfal, and F. Vandin. An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets. Journal of the ACM. 59(3):12:1-12:22.
C. Grasso , Y.Wu , D. Robinson , X. Cao , S. Dhanasekaran , A. Khan , M. Quist , X. Jing , R. Lonigro , J.C. Brenner , I. Asangani , B. Ateeq , S. Chun , J. Siddiqui , L. Sam , M. Anstett , R. Mehra , J. Prensner , N. Palanisamy , G. Ryslik , F. Vandin , B. Raphael , L. Kunju , D. Rhodes , K. Pienta , A. M. Chinnaiyan, S.A. Tomlins. The Mutational Landscape of Lethal Castrate Resistant Prostate Cancer. Nature, 2012 Jul 12;487(7406):239-43.
publisher link
F. Vandin, E. Upfal, and B. J. Raphael. Finding Driver Pathways in Cancer: Models and Algorithms.Algorithms for Molecular Biology, 2012 Sep 6;7(1):23.
L. He, F. Vandin, G. Pandurangan, and C. Bailey-Kellogg. BALLAST: A Ball-based Algorithm for Structural Motifs.Journal of Computational Biologyi, 20(2): 137-151 (2013).
The Cancer Genome Atlas Research Network. Genomic and Epigenomic Landscapes of Adult De Novo Acute Myeloid Leukemia. New England Journal of Medicine , May 1st 2013.
publisher link
The Cancer Genome Atlas Research Network. Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature, 2013 Jul 4; 499(7456):43-9.
publisher link
The Cancer Genome Atlas Research Network. The Cancer Genome Atlas Pan-Cancer analysis project. Nature Genetics, 2013, 45(10):1113-20.
publisher link
C.Kandoth*, M.D. McLellan*, F. Vandin, K.Ye, B. Niu, C. Lu, M. Xie, Q. Zhang, J.F. McMichael, M.A. Wyczalkowski, M.D.M. Leiserson, C.A. Miller, J.S. Welch, M.J. Walter, M.C. Wendl, T.J. Ley, R.K. Wilson, B.J. Raphael, L. Ding. Mutational landscape and significance across 12 major cancer types. Nature, 2013, 502, 333-339.
publisher link
Abstracts/Posters
F. Vandin, E. Upfal, and B. J. Raphael. Identification of Significantly Mutated Pathways in Cancer. (Abstract) Annual RECOMB Satellite 2009 MIT, Boston, MA, December 2009.
F. Vandin, E. Upfal, and B. J. Raphael. Detection of Mutated Pathways in Cancer. (Poster) 18th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2010, Boston, MA, 2010.
L. He, F. Vandin, G. Pandurangan, and C. Bailey-Kellogg.
Ball-based Algorithms for Structural Motifs. (Poster) 3DSIG 2011, Structural Bioinformatics and Computational Biophysics, ISMB Satellite Meeting, Vienna (Austria), 2011.
F. Vandin, H-T. Wu, E. Upfal, and B. J. Raphael. Algorithms for Automated Discovery of Mutated Pathways in Cancer. (Poster/Abstract) The Cancer Genome Atlas' 1st Annual Scientific Symposium, Washington DC, 2011.
F. Vandin, E. Upfal, and B. J. Raphael. Algorithms for Discovery of Mutated Pathways in Cancer. (Abstract) 2nd Workshop on Computational Advances for Next Generation Sequencing (CANGS) 2012, Las Vegas, NV, 2012.
F. Vandin, H-T. Wu, E. Upfal, and B. J. Raphael. Algorithms to Find Mutated Pathways in Cancer. 16th International Conference on
Research in Computational Molecular Biology (RECOMB) 2012, (Poster/Abstract) Barcelona, Spain, 2012.
M. Leiserson, H.-T. Wu, D. Blokh, F. Vandin, R. Sharan, B. J. Raphael. Methods for Identifying Driver Pathways in Cancer. (Poster) 3rd Annual Beyond the Genome Conference, Boston, USA, 2012.
M. Leiserson, H.-T. Wu, F. Vandin and B. J. Raphael. Network analysis of mutations across cancer types. (Poster) 17th International Conference on Research in Computational Molecular Biology (RECOMB), (Poster/Abstract) Beijing, China, 2013.
F. Vandin, A. Papoutsaki, B. Raphael, and E. Upfal. Accurate Genome-Wide Survival Analysis of Somatic Mutations in Cancer. (Poster) ISMB ECCB 2013, Berlin, Germany, 2013.
Theses
Laurea Triennale Final Project: "Models and
Methods for the Evaluation of Runway Capacity", Advisor: Prof. Lorenzo
Brunetta. University of Padova, 2004
Laurea Specialistica Thesis: "On the Top-K Frequent Closed
Itemsets Mining Problem", Advisors: Prof. Andrea Pietracaprina, Prof.
Geppino Pucci. University of Padova, 2006 (officially deemed as distinguished by
the thesis committee)
Ph.D. Thesis: "Mining Significant Patterns: Theory and Practice",
Advisor: Prof. Andrea Pietracaprina. University of Padova, 2010. pdf
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