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Paradoxical results in perturbation-based signaling network reconstruction.

, , and . Biophysical journal, 106 (12): 2720--2728 (Jun 17, 2014)
DOI: 10.1016/j.bpj.2014.04.031

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Paradoxical results in perturbation-based signaling network reconstruction., , and . Biophysical journal, 106 (12): 2720--2728 (Jun 17, 2014)Inference of Signal Transduction Networks from Double Causal Evidence, , and . Computational Biology, volume 673 of Methods in Molecular Biology, chapter 16, Humana Press, Totowa, NJ, (2010)Feedback Stabilization Using Two-Hidden-Layer Nets. SYCON-90-11. Rutgers Center for Systems and Control, Department of Mathematics, Rutgers University, New Brunswick, NJ, (1990)Neural Nets Are Universal Computing Devices, and . SYCON-91-08. Rutgers Center for Systems and Control, Rutgers University, New Brunswick, NJ, (1991)Analog Computation via Neural Networks, and . Theoretical Computer Science, (1994)Mathematical Control Theory: Deterministic Finite Dimensional Systems (Texts in Applied Mathematics, Vol. 6). Texts in applied mathematics, 6 Springer, 2nd edition, (Jul 17, 1998)Output-input stability and minimum-phase nonlinear systems., , and . IEEE Trans. Automat. Contr., 47 (3): 422-436 (2002)Rate of Approximation Results Motivated by Robust Neural Network Learning., , , and . COLT, page 303-309. ACM, (1993)On the Computational Power of Neural Nets., and . COLT, page 440-449. ACM, (1992)Conditions for global stability of monotone tridiagonal systems with negative feedback., , and . Syst. Control. Lett., 59 (2): 130-138 (2010)