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Volume 19 Supplement 2

Proceedings of Bringing Maths to Life (BMTL) 2017

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Naples, Italy07-09 June 2017

Edited by Laura Antonelli, Vincenza Colonna and Alessandra Rogato

Conference website

  1. Convolutional Neural Networks can be effectively used only when data are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of pixels in images. We introduce here Ph-CNN, a n...

    Authors: Diego Fioravanti, Ylenia Giarratano, Valerio Maggio, Claudio Agostinelli, Marco Chierici, Giuseppe Jurman and Cesare Furlanello
    Citation: BMC Bioinformatics 2018 19(Suppl 2):49
  2. During the last years, several approaches were applied on biomedical data to detect disease specific proteins and genes in order to better target drugs. It was shown that statistical and machine learning based...

    Authors: Lokmane Chebouba, Bertrand Miannay, Dalila Boughaci and Carito Guziolowski
    Citation: BMC Bioinformatics 2018 19(Suppl 2):59
  3. The endomembrane system, known as secretory pathway, is responsible for the synthesis and transport of protein molecules in cells. Therefore, genes involved in the secretory pathway are essential for the cellu...

    Authors: Kumar Parijat Tripathi, Marina Piccirillo and Mario Rosario Guarracino
    Citation: BMC Bioinformatics 2018 19(Suppl 2):58
  4. System toxicology aims at understanding the mechanisms used by biological systems to respond to toxicants. Such understanding can be leveraged to assess the risk of chemicals, drugs, and consumer products in l...

    Authors: Maurizio Giordano, Kumar Parijat Tripathi and Mario Rosario Guarracino
    Citation: BMC Bioinformatics 2018 19(Suppl 2):48

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  • Citation Impact 2023
    Journal Impact Factor: 2.9
    5-year Journal Impact Factor: 3.6
    Source Normalized Impact per Paper (SNIP): 0.821
    SCImago Journal Rank (SJR): 1.005

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