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Michele Filosi

Michele Filosi
Collaborator
  • Phone: 0461314648
  • FBK Povo
Publications
  1. Riccadonna, Samantha; Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Furlanello, Cesare,
    DTW-MIC Coexpression Networks from Time-Course Data,
    in «PLOS ONE»,
    vol. 11,
    n. 3,
    2016
    , pp. e0152648 -
  2. Jurman, G.; Filosi, M.; Riccadonna, S.; Visintainer, R.; Furlanello, C.,
    Differential network analysis and graph classification: a glocal approach,
    Dynamics of Mathematical Models in Biology,
    Cham,
    Springer,
    2016
    , pp. 17 -
    30
  3. D. Fay; A.W. Moore; K. Brown; M. Filosi; G. Jurman,
    Graph metrics as summary statistics for Approximate Bayesian Computation with application to network model parameter estimation,
    in «JOURNAL OF COMPLEX NETWORKS»,
    vol. 3,
    2015
    , pp. 52 -
    83
  4. Jurman, Giuseppe; Visintainer, Roberto; Filosi, Michele; Riccadonna, Samantha; Furlanello, Cesare,
    The HIM glocal metric and kernel for network comparison and classification,
    Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on,
    2015
    , pp. 1-
    10
    , (Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on,
    Paris,
    19-21 Oct. 2015)
  5. M. Filosi; R. Visintainer; S. Riccadonna; G. Jurman; C. Furlanello,
    Stability Indicators in Network Reconstruction,
    in «PLOS ONE»,
    vol. 9,
    n. 2,
    2014
    , pp. e89815 -
  6. C. Wang; B. Gong; P.R. Bushel; J. Thierry-Mieg; D. Thierry-Mieg; J. Xu; H. Fang; H. Hong; J. Shen; Z. Su; J. Meehan; X. Li; L. Yang; H. Li; P.P. Labaj; D.P. Krell; D. Megherbi; S. Gaj; F. Calment; J. van Delft; J. Kleinjans; A. Sherer; V. Devanarayan; J. Wang; Y. Yang; H.-R. Qian; L.J. Lancashire; M. Bessarabova; Y. Nikolsky; C. Furlanello; M. Chierici; D. Albanese; G. Jurman; S. Riccadonna; M. Filosi; R. Visintainer; K.K. Zhang; J. Li; J.-H. Hsieh; D.L Svoboda; J.C. Fuscoe; Y. Deng; L. Shi; R.S. Paules; S.S. Auerbach; W. Tong,
    The concordance between RNA-Seq and microarray data depends on chemical treatment and transcript abundance,
    in «NATURE BIOTECHNOLOGY»,
    vol. 32,
    n. 9,
    2014
    , pp. 926 -
    932
  7. D. Albanese; M. Filosi; R. Visintainer; S. Riccadonna; G. Jurman; C. Furlanello,
    minepy and minerva: a C engine for the MINE suite and its Python, R and MATLAB wrappers,
    in «BIOINFORMATICS»,
    vol. 29,
    n. 3,
    2013
    , pp. 407 -
    408
  8. A. Barla; G. Jurman; R. Visintainer; M. Squillario; M. Filosi; S. Riccadonna; C. Furlanello,
    A Machine Learning Pipeline for Discriminant Pathways Identification,
    Springer Handbook of Bio-/Neuroinformatics,
    Springer,
    2012
  9. A. Barla; G. Jurman; R. Visintainer; M. Squillario; M. Filosi; S. Riccadonna; C. Furlanello,
    A Machine Learning Pipeline for Discriminant Pathways Identification,
    in «LECTURE NOTES IN COMPUTER SCIENCE»
    Computational Intelligence Methods for Bioinformatics and Biostatistics,
    vol.7548,
    2012
    , pp. 36-
    48
  10. A. Barla; G. Jurman; R. Visintainer; M. Squillario; M. Filosi; S. Riccadonna; C. Furlanello,
    A machine learning pipeline for discriminant pathways identification,
    2011
    , (Cibb2011,
    Gargnano-Lago di Garda, Italy,
    da 06/30/2011 a 07/02/2011)