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1
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The online set cover problem
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San Diego, CA, June
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N. Alon, B. Awerbuch, Y. Azar, N. Buchbinder, and J. Naor, “The online set cover problem, " Proc. 35th Annual ACM Symposium on the Theory of Computing, San Diego, CA, June 2003, pp. 100-105.
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Proc. 35th Annual ACM Symposium on the Theory of Computing
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Alon, N.1
Awerbuch, B.2
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Buchbinder, N.4
Naor, J.5
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2
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9644284380
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Inference of signaling and gene regulatory networks by steady-state perturbation experiments: Structure and accuracy
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M. Andrec, B. N. Kholodenko, R. M. Levy, and E. D. Sontag, “Inference of signaling and gene regulatory networks by steady-state perturbation experiments: Structure and accuracy, " J. Theoretical Biology, vol. 232, pp. 427-441, 2005.
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(2005)
J. Theoretical Biology
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Andrec, M.1
Kholodenko, B.N.2
Levy, R.M.3
Sontag, E.D.4
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3
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26844438073
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Approximating the online set multicover problems via randomized winnowing
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Waterloo, Canada, Aug, (see also LNCS 3608, F. Dehne, A. Lopez-Ortiz, and J. R. Sack, Editors, Springer-Verlag, 2005.)
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P. Berman and B. DasGupta, “Approximating the online set multicover problems via randomized winnowing, " Proc. 9th Workshop on Algorithms and Data Structures, Waterloo, Canada, Aug. 2005, pp. 110-121. (see also LNCS 3608, F. Dehne, A. Lopez-Ortiz, and J. R. Sack, Editors, Springer-Verlag, 2005.)
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Proc. 9th Workshop on Algorithms and Data Structures
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Berman, P.1
DasGupta, B.2
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33645391692
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Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks
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to appear in, special issue on computational molecular biology
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P. Berman, B. DasGupta, and E. Sontag, “Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks, " to appear in Discrete Applied Mathematics (special issue on computational molecular biology).
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Discrete Applied Mathematics
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Berman, P.1
DasGupta, B.2
Sontag, E.3
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35048887511
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Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks
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Cambridge, MA, Aug, (see also LNCS 3122, K. Jansen, S. Khanna, J. D. P. Rolim, and D. Ron, Editors, Springer Verlag, 2004)
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P. Berman, B. DasGupta, and E. Sontag, “Randomized approximation algorithms for set multicover problems with applications to reverse engineering of protein and gene networks, " Proc. 7th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, Cambridge, MA, Aug. 2004, pp. 39-50. (see also LNCS 3122, K. Jansen, S. Khanna, J. D. P. Rolim, and D. Ron, Editors, Springer Verlag, 2004).
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(2004)
Proc. 7th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems
, pp. 39-50
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Berman, P.1
DasGupta, B.2
Sontag, E.3
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6
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84918441630
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Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
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Mathematical and computational techniques to deduce complex biochemical reaction mechanisms
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E. J. Crampin, S. Schnell, and P. E. McSharry, “Mathematical and computational techniques to deduce complex biochemical reaction mechanisms, " Progress in Biophysics & Molecular Biology, vol. 86, pp. 77-112, 2004.
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Progress in Biophysics & Molecular Biology
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Crampin, E.J.1
Schnell, S.2
McSharry, P.E.3
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A new polynomial-time algorithm for linear programming
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Combinatorica
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Untangling the wires: A novel strategy to trace functional interactions in signaling and gene networks
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B. N. Kholodenko, A. Kiyatkin, F. Bruggeman, E. D. Sontag, H. Westerhoff, and J. Hoek, “Untangling the wires: A novel strategy to trace functional interactions in signaling and gene networks, " Proceedings of the National Academy of Sciences USA, vol. 99, pp. 12841-12846, 2002.
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(2002)
Proceedings of the National Academy of Sciences USA
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Kholodenko, B.N.1
Kiyatkin, A.2
Bruggeman, F.3
Sontag, E.D.4
Westerhoff, H.5
Hoek, J.6
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10
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3242704801
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Determination of functional network structure from local parameter dependence data
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May
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B. N. Kholodenko and E. D. Sontag, “Determination of functional network structure from local parameter dependence data, " Proc. arXiv physics/0205003, May 2002.
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(2002)
Proc. arXiv physics/0205003
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Kholodenko, B.N.1
Sontag, E.D.2
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11
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0345871244
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Theoretical and computational studies of the glucose signaling pathways in yeast using global gene expression data
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X. Lin, C. A. Floudas, Y. Wang, and J. R. Broach, “Theoretical and computational studies of the glucose signaling pathways in yeast using global gene expression data, " Biotechnol Bioeng., vol. 84, pp. 864-886, 2003.
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(2003)
Biotechnol Bioeng.
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Lin, X.1
Floudas, C.A.2
Wang, Y.3
Broach, J.R.4
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12
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34250091945
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Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
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N. Littlestone, “Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm, " Machine Learning, vol. 2, pp. 285-318, 1988.
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Machine Learning
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Littlestone, N.1
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14
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Theorie der Vielfachen Kontinuität (1852)
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L. Schläfli, “Theorie der Vielfachen Kontinuität (1852), " Gesammelte Mathematische Abhandlungen, vol. 1, pp. 177-392, 1950.
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Gesammelte Mathematische Abhandlungen
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Schläfli, L.1
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0036578795
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Network motifs in the transcriptional regulation network of escherichia coli
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S. Shen-Orr, R. Milo, S. Mangan, and U. Alon, “Network motifs in the transcriptional regulation network of escherichia coli, " Nature Genetics, vol. 31, pp 64-68, 2002.
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Nature Genetics
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Shen-Orr, S.1
Milo, R.2
Mangan, S.3
Alon, U.4
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16
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4444226267
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Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data
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E. D. Sontag, A. Kiyatkin, and B. N. Kholodenko, “Inferring dynamic architecture of cellular networks using time series of gene expression, protein and metabolite data, " Bioinformatics, vol. 20, pp. 1877-1886, 2004.
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(2004)
Bioinformatics
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Sontag, E.D.1
Kiyatkin, A.2
Kholodenko, B.N.3
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17
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0009846660
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VC dimension of neural networks
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in, M. Bishop, ed., Berlin: Springer-Verlag
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E. D. Sontag, “VC dimension of neural networks, " in Neural Networks and Machine Learning, C. M. Bishop, ed., Berlin: Springer-Verlag, pp. 69-95, 1998.
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(1998)
Neural Networks and Machine Learning, C.
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Sontag, E.D.1
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18
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0038094430
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From the top down: Towards a predictive biology of signalling networks
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J. Stark, R. Callard, and M. Hubank, “From the top down: Towards a predictive biology of signalling networks, " Trends Biotechnol., vol. 21, pp. 290-293, 2003.
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Trends Biotechnol.
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Stark, J.1
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