Computational Methods in Systems Biology
Methods to Expand Cell Signaling Models Using Automated Reading 151 certain layers. It also includes pathways outside the baseli ...
152 K.-W. Liang et al. We use statistical model checking that combines simulation and property check- ing on simulation traces t ...
Methods to Expand Cell Signaling Models Using Automated Reading 153 hypothesis testing methods, while the second is solved via e ...
154 K.-W. Liang et al. Table 1.System properties for model testing. statistical model checking. There are five major functions o ...
Methods to Expand Cell Signaling Models Using Automated Reading 155 Figure 5 summarizes results of our extension methods on 1232 ...
156 K.-W. Liang et al. Fig. 5.Counts for newly added elements with certain structure (Reg. - regulator, Tgt. - regulated element ...
Methods to Expand Cell Signaling Models Using Automated Reading 157 5.2 Impact of Model Extension on System Properties Figure 6 ...
158 K.-W. Liang et al. gives us a deeper understanding of the network and helps us in further model development. One of our next ...
Methods to Expand Cell Signaling Models Using Automated Reading 159 References UniProt Consortium: UniProt: a hub for protein i ...
A Stochastic Model for the Formation of Spatial Methylation Patterns Alexander L ̈uck^1 , Pascal Giehr^2 ,J ̈orn Walter^2 , and ...
A Stochastic Model for the Formation of Spatial Methylation Patterns 161 expression [ 12 ]. Also significant differences in over ...
162 A. L ̈uck et al. allowed to distinguish between maintenance and de novo methylation on the parent and daughter strands [ 7 , ...
A Stochastic Model for the Formation of Spatial Methylation Patterns 163 2 Preliminaries Consider a sequence ofLneighboring CpG ...
164 A. L ̈uck et al. 3Model We describe the state of a sequence ofLCpGs by a discrete-time Markov chain with pattern distributio ...
A Stochastic Model for the Formation of Spatial Methylation Patterns 165 Fig. 3.Possible maintenance and de novo transitions dep ...
166 A. L ̈uck et al. The probabilities for two neighbors are obtained by a linear combination of the one neighbor cases, withψLf ...
A Stochastic Model for the Formation of Spatial Methylation Patterns 167 not capture these modifications and therefore we are no ...
168 A. L ̈uck et al. um TC c 1 −c 1 −d d Fig. 4.Conversions of the unobservable statesu, mto observable statesT,Cwith respective ...
A Stochastic Model for the Formation of Spatial Methylation Patterns 169 transient distributionπ(t) of the underlying Markov cha ...
170 A. L ̈uck et al. 4 Results For our analysis we focused at the single copy genes Afp (5 CpGs) and Tex13 (10 CpGs) as well as ...
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