Catalyzing Inquiry at the Interface of Computing and Biology
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 159 cal functionality can (but does not always) arise ...
160 CATALYZING INQUIRY acpM, which was not included in the interaction data used to construct the original, whole network) showe ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 161 5.4.4 Organ Physiology, Sydney Brenner has noted ...
162 CATALYZING INQUIRY system may consist of esophagus, stomach, and intestines; and so on down to the level of organelles withi ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 163 might further help identify those patients who ar ...
164 CATALYZING INQUIRY Box 5.11 Levels of Biological Organization One helpful approach is to consider a set of different, but in ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 165 Box 5.12 Examples of Intersection Between Structu ...
166 CATALYZING INQUIRY (^94) A.D. McCulloch and G. Huber, “Integrative Biological Modelling in Silico,” pp. 4-25 in ‘In Silico’ ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 167 heart diseases and to probe cardiac structure and ...
168 CATALYZING INQUIRY Box 5.14 Computational Modeling of the Heart ... [Integrative cardiac modelling has sought] to integrate ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 169 models have been coupled with a non-linear reacti ...
170 CATALYZING INQUIRY (^95) R.L. Winslow, D.F. Scollan, A. Holmes, C.K. Yung, J. Zhang, and M.S. Jafri, “Electrophysiological M ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 171 The underlying anatomical descriptions are based ...
172 CATALYZING INQUIRY 5.4.5 Neuroscience, In recent years, neuroscience has expanded its horizons beyond the microstructure of ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 173 FIGURE 5.12 Temporal and spatial scales of neuros ...
174 CATALYZING INQUIRY Box 5.16 Simulators for Computational Neuroscience The nervous system is extraordinarily complex. A singl ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 175 iological characteristics of the neural system of ...
176 CATALYZING INQUIRY express quantitatively the feedback entailed in the relationship between changing ionic flows and changin ...
COMPUTATIONAL MODELING AND SIMULATION AS ENABLERS FOR BIOLOGICAL DISCOVERY 177 priate parameter values, a constant input current ...
178 CATALYZING INQUIRY specified conductances and synapses enables researchers to test their intuitions regarding how these netw ...
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