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  1. Cazzaniga, Paolo [Editor]; Besozzi, Daniela [Editor]; Merelli, Ivan [Editor]; Manzoni, Luca [Editor]

    Computational Intelligence Methods for Bioinformatics and Biostatistics : 16th International Meeting, CIBB 2019, Bergamo, Italy, September 4–6, 2019, Revised Selected Papers - [1st ed. 2020.]

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    Cham: Springer International Publishing, 2020. ; Cham: Imprint: Springer, 2020.

    Published in: Lecture Notes in Bioinformatics ; 12313 - Springer eBook Collection

  2. Botta, Cirino [Author]; Perez, Cristina [Author]; Larrayoz, Marta [Author]; Puig, Noemi [Author]; Cedena, Maria-Teresa [Author]; Termini, Rosalinda [Author]; Goicoechea, Ibai [Author]; Rodriguez, Sara [Author]; Zabaleta, Aintzane [Author]; Lopez, Aitziber [Author]; Sarvide, Sarai [Author]; Blanco, Laura [Author]; Papetti, Daniele M. [Author]; Nobile, Marco S. [Author]; Besozzi, Daniela [Author]; Gentile, Massimo [Author]; Correale, Pierpaolo [Author]; Siragusa, Sergio [Author]; Oriol, Albert [Author]; González-Garcia, Maria Esther [Author]; Sureda, Anna [Author]; de Arriba, Felipe [Author]; Rios Tamayo, Rafael [Author]; Moraleda, Jose-Maria [Author]; [...]

    Large T cell clones expressing immune checkpoints increase during multiple myeloma evolution and predict treatment resistance

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    20 September 2023

    Published in: Nature Communications ; 14(2023), Artikel-ID 5825, Seite 1-15

  3. Leporati, Alberto; Besozzi, Daniela; Cazzaniga, Paolo; Pescini, Dario; Ferretti, Claudio

    Computing with energy and chemical reactions

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    Springer Science and Business Media LLC, 2010

    Published in: Natural Computing, 9 (2010) 2, Seite 493-512

  4. Besozzi, Daniela; Cazzaniga, Paolo; Mauri, Giancarlo; Pescini, Dario; Vanneschi, Leonardo

    Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems

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    Springer Berlin Heidelberg, 2009

    Published in: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (2009), Seite 116-127