TY - CHAP
T1 - Optimization in Biology Parameter Estimation and the Associated Optimization Problem
AU - Cedersund, Gunnar
AU - Samuelsson, Oscar
AU - Ball, Gordon
AU - Tegnér, Jesper
AU - Gomez-Cabrero, David
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-16
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Parameter estimation—the assignment of values to the parameters in a model—is an important and time-consuming task in computational biology. Recent computational and algorithmic developments have provided novel tools to improve this estimation step. One of these improvements concerns the optimization step, where the parameter space is explored to find interesting regions. In this chapter we review the parameter estimation problem, with a special emphasis on the associated optimization methods. In relation to this, we also provide concepts and tools to help you select the appropriate methodology for a specific scenario.
AB - Parameter estimation—the assignment of values to the parameters in a model—is an important and time-consuming task in computational biology. Recent computational and algorithmic developments have provided novel tools to improve this estimation step. One of these improvements concerns the optimization step, where the parameter space is explored to find interesting regions. In this chapter we review the parameter estimation problem, with a special emphasis on the associated optimization methods. In relation to this, we also provide concepts and tools to help you select the appropriate methodology for a specific scenario.
UR - http://link.springer.com/10.1007/978-3-319-21296-8_7
UR - http://www.scopus.com/inward/record.url?scp=85064342759&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-21296-8_7
DO - 10.1007/978-3-319-21296-8_7
M3 - Chapter
SP - 177
EP - 197
BT - Studies in Mechanobiology, Tissue Engineering and Biomaterials
PB - Springer
ER -