Recent Papers

Mining Protein-Protein Interaction Networks: Denoising Effects
    E. Marras and E. Capobianco
    Submitted to JSTAT, UPoN'08 special issue, 2008.

A Multiscale Tour in Protein Interactomics
    E. Marras and E. Capobianco
    IMA (Institute for Mathematics and its Applications - Un.ty of Minnesota) Preprint Series # 2193, April 2008

Kernel Methods and Flexible Inference for Complex Stochastic Dynamics

       Physica A: Statistical Mechanics and its Applications. In press, 2008.


Advances in Human Protein Interactome Inference
    E. Marras and E. Capobianco

    In: Functional and Operational Statistics, S. Dabo-Niang and F. Ferraty Eds., Physica-Verlag, Heidelberg (2008) 89-94.


Exploring Protein Interactome Features
    E. Marras and E.Capobianco

    WCSB 2008 Proceedings, TICSP Series  n. #41 (2008), 105-108.


Cascade Systems Denoising and Greedy Calibrated Approximation

         Journal of Interdisciplinary Mathematics. Forthcoming, 2008


Dimensionality Reduction and Greedy Learning of Convoluted Stochastic Dynamics

       Nonlinear Analysis, Real World Applications, Series B. Forthcoming, 2008.


Protein networking: insights into global functional organization of proteomes
        E. Pieroni, S. de la Fuente van Bentem, G. Mancosu, E. Capobianco, H. Hirt, and A. de la Fuente.

        Proteomics, 2008, 8(4):799-816.


Model validation for gene selection and regulation maps

        Functional and Integrative Genomics, forthcoming 2008.


Sieving Genomic Features by Signal Separation and Interference Sparsification

        SAMSI (Statistical and Applied Mathematical Sciences Institute) Technical Report 2007-3

Statistical Embedding in Complex Biosystems   

            Journal of Integrative Bioinformatics, 3(2) 2006, and Yearbook 2006, R. Hofestadt and T. Topel (Eds.), Shaker-Verlag, pp. 117-135.

Signal Disentanglement in In Vivo MR Spectroscopy: by semi-parametric processing or by measurement?

              H. Rabeson, H. Ratiney, C. Cudalbu, S. Cavassila, E. Capobianco, R. de Beer, D. van Ormondt, and D.Graveron-Demilly.

              ProRISC, IEEE Benelux, Veldhoven, The Netherlands, November 2006,

Error Bounds for Semi-Parametric Estimation in MRS

              H. Ratiney, E. Capobianco, R. de Beer, D. van Ormondt, and D.Graveron-Demilly.

              Proc. Int. Soc. Mag. Res. Med., 14th Scient. Meet., Seattle, WA (US) 3237, 6-2, 2006.

Mining Time-dependent Gene Features

            Journal of Bioinformatics and Computational Biology, 3(5), 1191-1205, 2005.

Robustness versus Redundancy in Biological Systems

            Fluctuation and Noise Letters, 5(3), L375-L385, 2005.

Semiparametric Estimation in In-vivo MR Spectroscopy

H.Ratiney, E. Capobianco, M.Sdika, H.Rabeson, C.Cudalbu, S.Cavassila, R.de Beer, D.van Ormondt, D.Graveron-Demilly

            ProRISC, IEEE Benelux, Veldhoven, The Netherlands, 658-667, 2005.

Robustness versus Redundancy in Biological Systems (short version)

            American Institute of Physics, Unsolved Problems of Noise and Fluctuations in Physics, Biology, and High Technology,

            L. Reggiani et. al (Eds.), Conf. Proceedings Vol. 800, pp. 361-367, 2005.

Denoising and Dimensionality Reduction of Genomic Data

            SPIE Proc., Fluctuation and Noise in Biological, Biophysical, and Biomedical Systems III,   N.G. Stocks, D. Abbott, R.P. Morse (Eds.),

            vol. 5841 (SPIE, WA, 2005), pp. 69-80, 2005. 

On Support Vector Machines and Sparse Approximation for Random Processes

            Neurocomputing, 56, 39-60, 2004.

Functional Approximation in Multi-scale Complex Systems

            Advances in Complex Systems, 6(2), 177-204, 2003.

Computationally efficient atomic representations for non-stationary stochastic processes

            International Journal on Wavelets, Multiresolution and Information Processing,1(3), 325-351, 2003

Independent Multi-resolution Component Analysis and Matching Pursuit

            Computational Statistics and Data Analysis, 42(3), 385-402, 2003.

Other Publications

Electronic Journal of Theoretical Physics, 4(15), 165-180, 2007.

SPIE Proc., Complex dynamics and Fluctuations in Biomedical Photonics IV, vol. 6436, 2007.

Journal of Numerical Analysis, Industrial and Applied Mathematics (JNAIAM), 1(2) 147-174, 2007.

Electronic Journal of Theoretical Physics, 3 (11), 85-109, 2006.

Physica A, 340 (1-3), 340-346, 2004

Nonlinear Phenomena in Complex Systems. 7(4), 314-331, 2004.

Fractals, 12(2), 179-195, 2004

Physica A, 344, 122-127, 2004.

Physica A, 319, 495-518, 2003.

Computational Economics, 23(3), 201-218, 2004

IEEE Proc. PhysCon 2003, Physics & Control, pp. 222-227, 2003. S.Petersburg, RU, Aug 20-22, 2003.

SPIE Proc., ICA, Wavelets NN, 5102, pp. 360-370, 2003. Orlando, Fl, April 21-25, 2003.

The European Physical Journal B, 27(2), 201-212, 2002.

Quantitative Finance, 2, 91-110, 2002.

Neurocomputing 48(4), 779-806, 2002.

EURASIP Journal on Applied Signal Processing, 2, 1-7, 2001.

ENUMATH (4^th European Numerical Mathematics and Advanced Applications) Proc. (Springer). Ischia, IT, July 23-28, pp. 391-408, 2001.

Nonlinear Estimation and Classification, pp. 273-285. Proc. (Springer-Verlag) of Workshop at MSRI, Berkeley, March 19-29, 2001.

International Journal of Theoretical and Applied Finance, 4(3), 511-534, 2001.

Artificial Neural Nets and Genetic Algorithms, pp. 426-430 (Springer-Verlag). Proc. of International Conf. in Prague (Czech Rep.), 2001.

Computational Statistics and Data Analysis, 32, 443-454, 2000.

Methodology and Computing in Applied Probability, I(4), 423-443, 1999.

Badanja Operacyjne I Decyzje, 2, 15-25, 1999.

Badanja Operacyjne I Decyzje, 1, 21-33, 1999.

Methodology and Computing in Applied Probability, I(4), 423-443, 1999.

Stochastic Modelling and Applications, I(1), 44-59, 1998.

Chapter in: Mathematics of Neural Networks; Models, Algorithms and Applications, S.W.Ellacott, J.C.Mason and I.J.Anderson (Eds) Kluwer Ac. Pub.,

   pp. 140-147, 1997.

Computing Science and Statistics, (Interface Foundation of North America) 29 (2), pp. 95-101, 1997. Proc. of 2nd IASC World Conf., Pasadena,

   CA (US), 02/19-22/1997

Neural Networks World: International Journal on Neural and Mass Parallel  Computing and Information Systems, 7 (4-5), 439-450, 1997.

International Journal of Modelling and Simulation, 17, 137-142, 1997.

Applied Stochastic Models and Data Analysis, 12 (4), 265-279, 1996.

CISS’96, Proc. Conf. Information Sciences and Statistics, II, Princeton Un., pp. 1037-1042, 1996.

NNSP’95, Neural Networks for Signal Processing Proc. of IEEE, MIT Press, pp. 87-94, 1995.

Complex Systems, 9, 477-490, 1995.

Some Technical Reports

Preprint 2031, IMA, Institute for Mathematics and its Applications, Minneapolis, MN, 2005

Preprint 2020, IMA, Institute for Mathematics and its Applications, Minneapolis, MN, 2005

Preprint 2013, IMA, Institute for Mathematics and its Applications, Minneapolis, MN, 2004

Preprint 2011, IMA, Institute for Mathematics and its Applications, Minneapolis, MN, 2004

Preprint 2003-008, MSRI, Mathematical Sciences Research Institute, Berkeley, 2003

Technical Report, PNA-R0217, CWI, Amsterdam, 2002

Technical Report, PNA-R0114, CWI, Amsterdam, 2001

Technical Report, PNA-R0111, CWI, Amsterdam, 2001

Papers currently submitted or under review

2006

• Kernel Methods and Flexible Inference for Complex Stochastic Dynamics

• Entropic Embedding and Fluctuation Analysis in Biological Manifolds

• On Replicated Genomic Measurements via Blind Source Separation