Computational Methods in Systems Biology
Abduction Based Drug Target Discovery Using Boolean Control Network 71 The inference also recovers cooperative gene mutations an ...
72 C. Biane and F. Delaplace Botting, G.M., Rastogi, I., Chhabra, G., Nlend, M., Puri, N.: Mechanism of resis- tance and novel ...
Abduction Based Drug Target Discovery Using Boolean Control Network 73 Marquis, P.: Extending abduction from propositional to f ...
Probably Approximately Correct Learning of Regulatory Networks from Time-Series Data Arthur Carcano^1 ,Fran ̧cois Fages2(B), and ...
Probably Approximately Correct Learning 75 with modelling time, and concluded that existing frameworks are not sufficient in the ...
76 A. Carcano et al. between the diversity of initial states and the length of the time horizon, and its impact on the error bou ...
Probably Approximately Correct Learning 77 2.2 PAC Learning Algorithms Valiant showed the learnability of some important classes ...
78 A. Carcano et al. Theorem 2 ([ 24 ]).The class of monotone DNF formulae onnvariables is also learnable with an algorithm that ...
Probably Approximately Correct Learning 79 Pis a multiset onS,calledpositive sourcesof the influence, Iamultisetofnegative sour ...
80 A. Carcano et al. Definition 4 (Boolean Activation Functions). The Boolean activation functionsxk+,xk− :{ 0 , 1 }n →{ 0 , 1 } ...
Probably Approximately Correct Learning 81 3.3 k-CNF Representation of General Influence Systems Monotone DNF formulae cannot en ...
82 A. Carcano et al. Example 5.The above translation applied to Example 1 gives fA = A ∧ ¬B, fB= 0. Note that the form offBmeans ...
Probably Approximately Correct Learning 83 On the other hand, the Oracle procedure needs to evaluate the (de)activation function ...
84 A. Carcano et al. On the other hand, PAC learning from a single Boolean trace obtained from the standard initial state where ...
Probably Approximately Correct Learning 85 abstracted to Boolean samples by the usual{ 0 ,> 0 }abstraction for the states, an ...
86 A. Carcano et al. STAT4, TBet -> IFNg. / IFNgR -< STAT1. / STAT4 -< IFNg. IL4R -> STAT6. / TBet -< IFNg. / IL4 ...
Probably Approximately Correct Learning 87 Fig. 5.Minimum numbers of (de)activation samples with standard deviations, and model ...
88 A. Carcano et al. interactions as prior knowledge, as is common in Machine Learning, effectively restricting the possible cla ...
Probably Approximately Correct Learning 89 References Angelopoulos, N., Muggleton, S.H.: Machine learning metabolic pathway des ...
90 A. Carcano et al. Mendoza, L.: A network model for the control of the differentiation process in Th cells. Biosystems 84 (2) ...
«
1
2
3
4
5
6
7
8
9
10
»
Free download pdf