Accepted Posters:
| Name | Title | Abstract | Poster |
| Abnizova, I | SVM application of `motif surprise' kernels for regulatory region detection | Abstract | |
| Chiang, T | Combining protein interactions | Abstract | |
| Ding, Y | Feature selection and classification based on K-nearest neighbour patterns | Abstract | |
| Edelman, E | Modeling cancer progression via pathway dependencies | Abstract | |
| Ernst,J | Reconstructing dynamic regulatory maps | Abstract | |
| Gilbert, HN | Resampling-based Multiple Hypothesis Testing: New Developments in the R package multtest | Abstract | Poster |
| Gräf, S | Comparing methods for the analysis of genome wide chIP data | Abstract | |
| Hageman, RS | Bayesian methods for large-scale dynamical metabolic systems: modeling, prediction and sensitivity analysis | Abstract | |
| Jones, B | Experiences fitting Gaussian graphical models to microarray data using the lasso | Abstract | Poster |
| Kar, R, Khan, ZA and Mandal, A | Antibacterial properties of common Indian ant solenopsis warfaria | Abstract | Poster |
| Kim, S | RAN-aCGH: R CUI tools for analysis and visualization of an array-CGH experiment | Abstract | Poster |
| McGettigan, P | Transcriptional analysis of a schizophrenia endophenotype in rat | Abstract | |
| Okoniewski, MJ | X: MAP and exonmap - tools for high-throughput transcriptomic analyses | Abstract | |
| Sang, H | Interpreting self organising maps through space-time data models | Abstract | |
| Schmidberger, MS | Parallelised preprocessing algorithms for high-density oligonucleotide array data | Abstract | Poster |
| Shojaie, A | Analysis of gene sets based on the underlying gene regulatory network | Abstract | Poster |
| Timofeev, N | Linkage disequilibrium filter in genome wide association studies | Abstract | |
| Walter, K | New algorithms for detecting structural variation | Abstract | |
| Yasrebi, H | Breast cancer survival prediction using merged gene expression data sets | Abstract | |
| Youn, A | Learning transcriptional regulatory modules from the integration of chIP-chip and gene expression data | Abstract |
Information for Conference Participants | Local Information | Newton Institute Map | Statistical Theory and Methods for Complex, High Dimensional Data | Workshops | Newton Institute Home Page
