TY - GEN
T1 - Mathematical modeling in systems biology
AU - Yli-Harja, Olli
AU - Emmert-Streib, Frank
AU - Yli-Hietanen, Jari
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017/4/21
Y1 - 2017/4/21
N2 - 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.
AB - 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.
KW - Computational biology
KW - Mathematical modeling
KW - Systems biology
UR - https://www.scopus.com/pages/publications/85018707057
U2 - 10.1007/978-3-319-57711-1_14
DO - 10.1007/978-3-319-57711-1_14
M3 - Conference contribution
AN - SCOPUS:85018707057
SN - 9783319577104
T3 - Communications in Computer and Information Science
SP - 161
EP - 166
BT - Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry - 11th Italian Workshop, WIVACE 2016, Revised Selected Papers
A2 - Rossi, Federico
A2 - Piotto, Stefano
A2 - Concilio, Simona
PB - Springer Verlag
T2 - 11th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2016
Y2 - 4 October 2016 through 6 October 2016
ER -