2008 |
27 | EE | Joshua W. Robinson,
Alexander J. Hartemink:
Non-stationary dynamic Bayesian networks.
NIPS 2008: 1369-1376 |
26 | EE | Martha L. Bulyk,
Ernest Fraenkel,
Alexander J. Hartemink,
Yael Mandel-Gutfreund:
Session Introduction.
Pacific Symposium on Biocomputing 2008: 438-440 |
25 | EE | Raluca Gordân,
Alexander J. Hartemink:
Using DNA Duplex Stability Information for Transcription Factor Binding Site Discovery.
Pacific Symposium on Biocomputing 2008: 453-464 |
24 | EE | Raluca Gordân,
Leelavati Narlikar,
Alexander J. Hartemink:
A Fast, Alignment-Free, Conservation-Based Method for Transcription Factor Binding Site Discovery.
RECOMB 2008: 98-111 |
2007 |
23 | EE | Martha L. Bulyk,
Alexander J. Hartemink,
Ernest Fraenkel,
Gary D. Stormo:
Session Introduction.
Pacific Symposium on Biocomputing 2007: 470-471 |
22 | EE | Leelavati Narlikar,
Raluca Gordân,
Alexander J. Hartemink:
Nucleosome Occupancy Information Improves de novo Motif Discovery.
RECOMB 2007: 107-121 |
21 | EE | Allister Bernard,
David S. Vaughn,
Alexander J. Hartemink:
Reconstructing the Topology of Protein Complexes.
RECOMB 2007: 32-46 |
2006 |
20 | EE | 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 |
19 | EE | Pallavi N. Pratapa,
Edward F. Patz Jr.,
Alexander J. Hartemink:
Finding Diagnostic Biomarkers in Proteomic Spectra.
Pacific Symposium on Biocomputing 2006: 279-290 |
18 | EE | Leelavati Narlikar,
Alexander J. Hartemink:
Sequence features of DNA binding sites reveal structural class of associated transcription factor.
Bioinformatics 22(2): 157-163 (2006) |
2005 |
17 | EE | Allister Bernard,
Alexander J. Hartemink:
Informative Structure Priors: Joint Learning of Dynamic Regulatory Networks from Multiple Types of Data.
Pacific Symposium on Biocomputing 2005 |
16 | EE | Alexander J. Hartemink,
Eran Segal:
Session Introduction: Joint Learning from Multiple Types of Genomic Data.
Pacific Symposium on Biocomputing 2005 |
15 | EE | Peng Yin,
Alexander J. Hartemink:
Theoretical and practical advances in genome halving.
Bioinformatics 21(7): 869-879 (2005) |
14 | EE | 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) |
2004 |
13 | EE | Balaji Krishnapuram,
David Williams,
Ya Xue,
Alexander J. Hartemink,
Lawrence Carin,
Mário A. T. Figueiredo:
On Semi-Supervised Classification.
NIPS 2004 |
12 | EE | Alexander J. Hartemink,
Eran Segal:
Session Introduction.
Pacific Symposium on Biocomputing 2004: 262-263 |
11 | EE | 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) |
10 | EE | 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) |
9 | EE | 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) |
2003 |
8 | EE | 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 |
7 | EE | 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 |
6 | EE | Balaji Krishnapuram,
Lawrence Carin,
Alexander J. Hartemink:
Joint classifier and feature optimization for cancer diagnosis using gene expression data.
RECOMB 2003: 167-175 |
2002 |
5 | | V. Anne Smith,
Erich D. Jarvis,
Alexander J. Hartemink:
Evaluating functional network inference using simulations of complex biological systems.
ISMB 2002: 216-224 |
4 | EE | 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 |
3 | EE | 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) |
2001 |
2 | EE | 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 |
1999 |
1 | EE | Stuart E. Schechter,
Todd Parnell,
Alexander J. Hartemink:
Anonymous Authentication of Membership in Dynamic Groups.
Financial Cryptography 1999: 184-195 |