Alexander J. Hartemink

Michael B. Mayhew, Xin Guo, Steven B. Haase, Alexander J. Hartemink: Close Encounters of the Collaborative Kind. IEEE Computer 45(3): 24-30 (2012)

Michael B. Mayhew, Joshua W. Robinson, Boyoun Jung, Steven B. Haase, Alexander J. Hartemink: A generalized model for multi-marker analysis of cell cycle progression in synchrony experiments. Bioinformatics [ISMB/ECCB] 27(13): 295-303 (2011)

Joshua W. Robinson, Alexander J. Hartemink: Learning Non-Stationary Dynamic Bayesian Networks. Journal of Machine Learning Research 11: 3647-3680 (2010)

Raluca Gordân, Alexander J. Hartemink, Martha L. Bulyk: Distinguishing Direct versus Indirect Transcription Factor-DNA Interactions. RECOMB 2010: 574

Xin Guo, Alexander J. Hartemink: Domain-oriented edge-based alignment of protein interaction networks. Bioinformatics 25(12) (2009)

Joshua W. Robinson, Alexander J. Hartemink: Non-stationary dynamic Bayesian networks. NIPS 2008: 1369-1376

Martha L. Bulyk, Ernest Fraenkel, Alexander J. Hartemink, Yael Mandel-Gutfreund: Session Introduction. Pacific Symposium on Biocomputing 2008: 438-440

Raluca Gordân, Alexander J. Hartemink: Using DNA Duplex Stability Information for Transcription Factor Binding Site Discovery. Pacific Symposium on Biocomputing 2008: 453-464

Raluca Gordân, Leelavati Narlikar, Alexander J. Hartemink: A Fast, Alignment-Free, Conservation-Based Method for Transcription Factor Binding Site Discovery. RECOMB 2008: 98-111

Leelavati Narlikar, Raluca Gordân, Alexander J. Hartemink: A Nucleosome-Guided Map of Transcription Factor Binding Sites in Yeast. PLoS Computational Biology 3(11) (2007)

Martha L. Bulyk, Alexander J. Hartemink, Ernest Fraenkel, Gary D. Stormo: Session Introduction. Pacific Symposium on Biocomputing 2007: 470-471

Allister Bernard, David S. Vaughn, Alexander J. Hartemink: Reconstructing the Topology of Protein Complexes. RECOMB 2007: 32-46

Leelavati Narlikar, Raluca Gordân, Alexander J. Hartemink: Nucleosome Occupancy Information Improves de novo Motif Discovery. RECOMB 2007: 107-121

Leelavati Narlikar, Alexander J. Hartemink: Sequence features of DNA binding sites reveal structural class of associated transcription factor. Bioinformatics 22(2): 157-163 (2006)

V. Anne Smith, Jing Yu, Tom V. Smulders, Alexander J. Hartemink, Erich D. Jarvis: Computational Inference of Neural Information Flow Networks. PLoS Computational Biology 2(11) (2006)

Leelavati Narlikar, Raluca Gordân, Uwe Ohler, Alexander J. Hartemink: Informative priors based on transcription factor structural class improve de novo motif discovery. ISMB (Supplement of Bioinformatics) 2006: 384-392

Pallavi N. Pratapa, Edward F. Patz Jr., Alexander J. Hartemink: Finding Diagnostic Biomarkers in Proteomic Spectra. Pacific Symposium on Biocomputing 2006: 279-290

Peng Yin, Alexander J. Hartemink: Theoretical and practical advances in genome halving. Bioinformatics 21(7): 869-879 (2005)

Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink: Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 957-968 (2005)

Allister Bernard, Alexander J. Hartemink: Informative Structure Priors: Joint Learning of Dynamic Regulatory Networks from Multiple Types of Data. Pacific Symposium on Biocomputing 2005

Alexander J. Hartemink, Eran Segal: Session Introduction: Joint Learning from Multiple Types of Genomic Data. Pacific Symposium on Biocomputing 2005

Jing Yu, V. Anne Smith, Paul P. Wang, Alexander J. Hartemink, Erich D. Jarvis: Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics 20(18): 3594-3603 (2004)

Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink: Joint Classifier and Feature Optimization for Comprehensive Cancer Diagnosis Using Gene Expression Data. Journal of Computational Biology 11(2/3): 227-242 (2004)

Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo: A Bayesian Approach to Joint Feature Selection and Classifier Design. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1105-1111 (2004)

Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo: On Semi-Supervised Classification. NIPS 2004

Alexander J. Hartemink, Eran Segal: Session Introduction. Pacific Symposium on Biocomputing 2004: 262-263

Peter D. Karp, Eric P. Neumann, Alexander J. Hartemink, Pedro Romero: Genome, Pathway, and Interaction Bioinformatics - Session Introduction. Pacific Symposium on Biocomputing 2003: 101-103

V. Anne Smith, Erich D. Jarvis, Alexander J. Hartemink: Influence of Network Topology and Data Collection on Network Inference. Pacific Symposium on Biocomputing 2003: 164-175

Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink: Joint classifier and feature optimization for cancer diagnosis using gene expression data. RECOMB 2003: 167-175

Alexander J. Hartemink, David K. Gifford, Tommi Jaakkola, Richard A. Young: Bayesian Methods for Elucidating Genetic Regulatory Networks. IEEE Intelligent Systems 17(2): 37-43 (2002)

V. Anne Smith, Erich D. Jarvis, Alexander J. Hartemink: Evaluating functional network inference using simulations of complex biological systems. ISMB 2002: 216-224

Alexander J. Hartemink, David K. Gifford, Tommi Jaakkola, Richard A. Young: Combining Location and Expression Data for Principled Discovery of Genetic Regulatory Network Models. Pacific Symposium on Biocomputing 2002: 437-449

Alexander J. Hartemink, David K. Gifford, Tommi Jaakkola, Richard A. Young: Using Graphical Models and Genomic Expression Data to Statistically Validate Models of Genetic Regulatory Networks. Pacific Symposium on Biocomputing 2001: 422-433

Stuart E. Schechter, Todd Parnell, Alexander J. Hartemink: Anonymous Authentication of Membership in Dynamic Groups. Financial Cryptography 1999: 184-195