ProCell: investigating cell proliferation with Swarm Intelligence

Marco Nobile, Thalia Vlachou, Simone Spolaor, Paolo Cazzaniga, Giancarlo Mauri, Pier Giuseppe Pelicci, Giancarlo Mauri

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Abstract

Computational methods represent an effective mean for the analysis of complex biological processes, such as cell proliferation, especially when combined to well established experimental protocols. In particular, mathematical modeling coupled with computational intelligence algorithms can be successfully exploited to investigate different aspects of cell population dynamics in the context of tumor growth. To this aim, we defined ProCell, a modeling and simulation framework specifically designed for the investigation of cell proliferation, which makes use of Fuzzy Self-Tuning Particle Swarm Optimization to estimate the unknown parameters of cell population models. ProCell is here applied to the analysis of cell proliferation in acute myeloid leukemia, a hematological malignancy characterized by an inherent intra-tumoral heterogeneity that plays an important role in disease recurrence and resistance to chemotherapy. ProCell allowed to provide new insights on the intricate organization of cells with highly heterogeneous proliferative potential, and to highlight the important role of different cell types in the progression and evolution of the disease. ProCell is available under the GPL 2.0 license on GitHub at https://github.com/aresio/ProCell.
Original languageEnglish
Title of host publication2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
EditorsGiacomo Baruzzo, Sebastian Daberdaku, Barbara Di Camillo, Simone Furini, Emanuele Domenico Giordano, Giuseppe Nicosia
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)978-1-7281-1462-0
ISBN (Print)978-1-7281-1463-7
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes
EventIEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB) - Certosa di Pontignano, Siena, Italy
Duration: 9 Jul 201911 Jul 2019

Conference

ConferenceIEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB)
CountryItaly
CitySiena
Period9/07/1911/07/19

Keywords

  • Fuzzy Self-Tuning PSO
  • Modeling
  • acute myeloid leukemia
  • computational intelligence
  • parameter estimation
  • simulation

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  • Prizes

    Best paper award at IEEE CIBCB 2019

    Nobile, Marco (Recipient), 11 Jul 2019

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

  • Cite this

    Nobile, M., Vlachou, T., Spolaor, S., Cazzaniga, P., Mauri, G., Pelicci, P. G., & Mauri, G. (2019). ProCell: investigating cell proliferation with Swarm Intelligence. In G. Baruzzo, S. Daberdaku, B. Di Camillo, S. Furini, E. D. Giordano, & G. Nicosia (Eds.), 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) [8791468] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIBCB.2019.8791468