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TUTCRIS

Mathematical modeling in systems biology

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoAdvances in Artificial Life, Evolutionary Computation, and Systems Chemistry - 11th Italian Workshop, WIVACE 2016, Revised Selected Papers
KustantajaSpringer Verlag
Sivut161-166
Sivumäärä6
ISBN (painettu)9783319577104
DOI - pysyväislinkit
TilaJulkaistu - 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaItalian Workshop on Artificial Life and Evolutionary Computation -
Kesto: 1 tammikuuta 2000 → …

Julkaisusarja

NimiCommunications in Computer and Information Science
Vuosikerta708
ISSN (painettu)1865-0929

Conference

ConferenceItalian Workshop on Artificial Life and Evolutionary Computation
Ajanjakso1/01/00 → …

Tiivistelmä

In this opinion paper we describe how mathematical models can serve as the foundation for communication within multidisciplinary research teams by providing a useful joint context. First we consider the role of mathematical modeling in systems biology in the light of our experiences in cancer research and other biological disciplines in the realm of big data. We examine the methodologies of machine learning, observing the differences between the modeling approach and the black box approach. Next, we consider the role of mathematical models in natural sciences, observing three simultaneous goals: prediction, knowledge accumulation, and communication. Finally, we consider the differences of the pathway model and the attractor model in describing genetic networks, and explore the long-standing criticality hypothesis, discussing its value in multidisciplinary research.

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