Publications

Publications

  1. Robinson, J. & Hartemink, A. (2008) “Non-Stationary Dynamic Bayesian Networks.” Neural Information Processing Systems 2008 (NIPS08), (accepted).
  2. Orlando, D., Lin, C., Bernard, A., Wang, J., Socolar, J., Iversen, E., Hartemink, A., & Haase, S. (2008) “Global Control of Cell-Cycle Transcription by Coupled CDK and Network Oscillators.” Nature, 453, 12 June 2008. pp. 944–947. [Supp. Info.]
  3. Gordân, R., Narlikar, L., & Hartemink, A. (2008) “A Fast, Alignment-Free, Conservation-Based Method for Transcription Factor Binding Site Discovery.” Research in Computational Molecular Biology 2008 (RECOMB08). Lecture Notes in Bioinformatics, Vingron, M. & Wong, L., eds. 4955, April 2008. pp. 98–111. [Supp. Info.]
  4. Gordân, R. & Hartemink, A. (2008) “Using DNA Duplex Stability Information for Transcription Factor Binding Site Discovery.” In Pacific Symposium on Biocomputing 2008 (PSB08), Altman, R., Dunker, A.K., Hunter, L., Murray, T., & Klein, T., eds. World Scientific: New Jersey. pp. 453–464. [Supp. Info.]
  5. Lüdi, P., Dietrich, F., Weidman, J., Bosko, J., Jirtle, R., & Hartemink, A. (2007) “Computational and Experimental Identification of Novel Human Imprinted Genes.” Genome Research, 17, December 2007. pp. 1723–1730. [Supp. Info.] [Cover] [Nature Reviews Genetics] [Science] [AP] [Wired]
  6. Narlikar, L., Gordân, R., & Hartemink, A. (2007) “A Nucleosome-Guided Map of Transcription Factor Binding Sites in Yeast.” PLoS Computational Biology, 3, November 2007. pp. 2199–2208.
  7. Bernard, A., Vaughn, D., & Hartemink, A. (2007) “Reconstructing the Topology of Protein Complexes.” Research in Computational Molecular Biology 2007 (RECOMB07). Lecture Notes in Bioinformatics, Speed, T. & Huang, H., eds. 4453, April 2007. pp. 32–46.
  8. Narlikar, L., Gordân, R., & Hartemink, A. (2007) “Nucleosome Occupancy Information Improves de novo Motif Discovery.” Research in Computational Molecular Biology 2007 (RECOMB07). Lecture Notes in Bioinformatics, Speed, T. & Huang, H., eds. 4453, April 2007. pp. 107–121. [Supp. Info.]
  9. Orlando, D., Lin, C., Bernard, A., Iversen, E., Hartemink, A., & Haase, S. (2007) “A Probabilistic Model for Cell Cycle Distributions in Synchrony Experiments.” RECOMB Satellite Conference on Systems Biology 2006, Cell Cycle, 6, February 2007. pp. 478–488.
  10. Smith, V., Yu, J., Smulders, T., Hartemink, A., & Jarvis, E. (2006) “Computational Inference of Neural Information Flow Networks.” PLoS Computational Biology, 2, November 2006. pp. 1436–1449. [Supp. Info.] [Code] [Most Viewed Research Article at PLoS Computational Biology]
  11. Bernard, A. & Hartemink, A. (2006) “Evaluating Algorithms for Learning Biological Networks.” DREAM Workshop, September 2006.
  12. Narlikar, L., Gordân, R., Ohler, U., & Hartemink, A. (2006) “Informative Priors Based on Transcription Factor Structural Class Improve de novo Motif Discovery.” Intelligent Systems in Molecular Biology 2006 (ISMB06), Bioinformatics, 22, July 2006. pp. e384–e392. [Supp. Info.] [Code] [Input Data]
  13. Hartemink, A. (2006) “Bayesian Networks and Informative Priors: Transcriptional Regulatory Network Models.” In Bayesian Inference for Gene Expression and Proteomics, Do, K.-A., Müller, P., & Vannucci, M., eds. Cambridge University Press: Cambridge, UK. pp. 401–424.
  14. Narlikar, L. & Hartemink, A. (2006) “Sequence Features of DNA Binding Sites Reveal Structural Class of Associated Transcription Factor.” Bioinformatics, 22, January 2006. pp. 157–163.
  15. Pratapa, P., Patz, E., & Hartemink, A. (2006) “Finding Diagnostic Biomarkers in Proteomic Spectra.” In Pacific Symposium on Biocomputing 2006 (PSB06), Altman, R., Dunker, A.K., Hunter, L., Murray, T., & Klein, T., eds. World Scientific: New Jersey. pp. 279–290. [Larger Figs.]
  16. Krishnapuram, B., Williams, D., Xue, Y., Carin, L., Figueiredo, M., & Hartemink, A. (2005) “Active Learning of Features and Labels.” Learning with Multiple Views Workshop at ICML05, August 2005.
  17. Lüdi, P., Hartemink, A., & Jirtle, R. (2005) “Genome-wide Prediction of Imprinted Murine Genes.” Genome Research, 15, June 2005. pp. 875–884.
  18. Krishnapuram, B., Figueiredo, M., Carin, L., & Hartemink, A. (2005) “Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds.” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 27, June 2005. pp. 957–968. [Code]
  19. Hartemink, A. (2005) “Reverse Engineering Gene Regulatory Networks.” Nature Biotechnology, 23, May 2005. pp. 554–555.
  20. Yin, P. & Hartemink, A. (2005) “Theoretical and Practical Advances in Genome Halving.” Bioinformatics, 21, April 2005. pp. 869–879.
  21. Bernard, A. & Hartemink, A. (2005) “Informative Structure Priors: Joint Learning of Dynamic Regulatory Networks from Multiple Types of Data.” In Pacific Symposium on Biocomputing 2005 (PSB05), Altman, R., Dunker, A.K., Hunter, L., Jung, T., & Klein, T., eds. World Scientific: New Jersey. pp. 459–470. [Supp. Info.]
  22. Krishnapuram, B., Williams, D., Xue, Y., Hartemink, A., Carin, L., & Figueiredo, M. (2005) “On Semi-Supervised Classification.” In Advances in Neural Information Processing Systems 17 (NIPS04), Saul, L., Weiss, Y., & Bottou, L., eds. MIT Press: Cambridge, MA. pp. 721–728.
  23. Yu, J., Smith, V., Wang, P., Hartemink, A., & Jarvis, E. (2004) “Advances to Bayesian Network Inference for Generating Causal Networks from Observational Biological Data.” Bioinformatics, 20, December 2004. pp. 3594–3603.
  24. Krishnapuram, B., Hartemink, A., Carin, L., & Figueiredo, M. (2004) “A Bayesian Approach to Joint Feature Selection and Classifier Design.” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 26, September 2004. pp. 1105–1111.
  25. Krishnapuram, B., Carin, L., & Hartemink, A. (2004) “Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data.” Journal of Computational Biology, 11, March 2004. pp. 227–242.
  26. Krishnapuram, B., Carin, L., & Hartemink, A. (2004) “Gene Expression Analysis: Joint Feature Selection and Classifier Design.” In Kernel Methods in Computational Biology, Schölkopf, B., Tsuda, K., & Vert, J.-P., eds. MIT Press: Cambridge, MA. pp. 299–318.
  27. Liu, Q., Krishnapuram, B., Pratapa, P., Liao, X., Hartemink, A., & Carin, L. (2003) “Identification of Differentially Expressed Proteins Using MALDI-TOF Mass Spectra.” ASILOMAR Conference: Biological Aspects of Signal Processing, November 2003.
  28. Krishnapuram, B., Carin, L., & Hartemink, A. (2003) “Joint Classifier and Kernel Design.” Kernel Methods in Bioinformatics Workshop at RECOMB03, April 2003.
  29. Krishnapuram, B., Carin, L., & Hartemink, A. (2003) “Joint Classifier and Feature Optimization for Cancer Diagnosis Using Gene Expression Data.” Research in Computational Molecular Biology 2003 (RECOMB03), April 2003.
  30. Smith, V., Jarvis, E., & Hartemink, A. (2003) “Influence of Topology and Data Collection on Functional Network Inference.” In Pacific Symposium on Biocomputing 2003 (PSB03), Altman, R., Dunker, A.K., Hunter, L., Jung, T., & Klein, T., eds. World Scientific: New Jersey. pp. 164–175.
  31. Yu, J., Smith, V., Wang, P., Hartemink, A., & Jarvis, E. (2002) “Using Bayesian Network Inference Algorithms to Recover Molecular Genetic Regulatory Networks.” International Conference on Systems Biology 2002 (ICSB02), December 2002.
  32. Jarvis, E., Smith, V., Wada, K., Rivas, M., McElroy, M., Smulders, T., Carninci, P., Hayashisaki, Y., Dietrich, F., Wu, X., McConnell, P., Yu, J., Wang, P., Hartemink, A., & Lin, S. (2002) “A Framework for Integrating the Songbird Brain.” Journal of Comparative Physiology A, 188, December 2002. pp. 961–980.
  33. Krishnapuram, B., Hartemink, A., & Carin, L. (2002) “Applying Logistic Regression and RVM to Achieve Accurate Probabilistic Cancer Diagnosis from Gene Expression Profiles.” GENSIPS: Workshop on Genomic Signal Processing and Statistics, October 2002.
  34. Smith, V., Jarvis, E., & Hartemink, A. (2002) “Evaluating Functional Network Inference Using Simulations of Complex Biological Systems.” Intelligent Systems in Molecular Biology 2002 (ISMB02), Bioinformatics, 18:S1. pp. S216–S224.
  35. Hartemink, A., Gifford, D., Jaakkola, T., & Young, R. (2002) “Bayesian Methods for Elucidating Genetic Regulatory Networks.” IEEE Intelligent Systems, special issue on Intelligent Systems in Biology, 17, March/April 2002. pp. 37–43.
  36. Hartemink, A., Gifford, D., Jaakkola, T., & Young, R. (2002) “Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Networks.” In Pacific Symposium on Biocomputing 2002 (PSB02), Altman, R., Dunker, A.K., Hunter, L., Lauderdale, K., & Klein, T., eds. World Scientific: New Jersey. pp. 437–449.
  37. Hartemink, A. (2001) “Principled Computational Methods for the Validation and Discovery of Genetic Regulatory Networks.” Massachusetts Institute of Technology, Ph.D. dissertation.
  38. Hartemink, A., Gifford, D., Jaakkola, T., & Young, R. (2001) “Maximum Likelihood Estimation of Optimal Scaling Factors for Expression Array Normalization.” SPIE International Symposium on Biomedical Optics 2001 (BiOS01). In Microarrays: Optical Technologies and Informatics, Bittner, M., Chen, Y., Dorsel, A., & Dougherty, E., eds. Proceedings of SPIE, 4266. pp. 132–140.
  39. Hartemink, A., Gifford, D., Jaakkola, T., & Young, R. (2001) “Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks.” In Pacific Symposium on Biocomputing 2001 (PSB01), Altman, R., Dunker, A.K., Hunter, L., Lauderdale, K., & Klein, T., eds. World Scientific: New Jersey. pp. 422–433.
  40. Hartemink, A., Mikkelsen, T., & Gifford, D. (2000) “Simulating Biological Reactions: A Modular Approach.” DNA Based Computers V. Winfree, E. & Gifford, D., eds. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 54, American Mathematical Society. pp. 111–121.
  41. Schechter, S., Parnell, T., & Hartemink, A. (1999) “Anonymous Authentication of Membership in Dynamic Groups.” Financial Cryptography '99. Franklin, M., ed. Lecture Notes in Computer Science, 1648, Springer-Verlag. pp. 184–195.
  42. Hartemink, A., Gifford, D., & Khodor, J. (1999) “Automated Constraint-Based Nucleotide Sequence Selection for DNA Computation.” Biosystems, 52, October 1999, Elsevier Press. pp. 227–235.
  43. Hartemink, A. & Gifford, D. (1999) “Thermodynamic Simulation of Deoxyoligonucleotide Hybridization for DNA Computation.” DNA Based Computers III. Rubin, H. & Wood, D., eds. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 48, American Mathematical Society. pp. 25–38.
This page last modified on 10 Oct 2008.

Valid XHTML 1.1!   Valid CSS!