Monday, September 17

2^nd Workshop in Data Mining in Functional Genomics and Proteomics – DMFGP’07

Chairs: A. Fazel Famili, Xiaohui Liu, J.M. Peña

Room 214-215-216

Session 1 – 11:00-12:30

Workshop Introduction and Welcome

F. Famili, J.M. Peña

Classification of Microarrays with kNN: Comparison of Dimensionality Reduction Methods

by S. Deegalla, H. Boström

Discovering informative genes from gene expression data: 
A Multi-strategy approach

by F. Famili, S. Phan, Z. Liu, Y. Pan, A. Djebbari, A. Lenferink,
M. O’Connor

Breast Cancer Biomarker Selection Using Multiple Offspring Sampling
by A. LaTorre, J.M. Peña, S. González, O. Cubo, F. Famili

12:30-14:00 Lunch break

Session 2 – 14:00-15:30

Combining APRIORI and Bootstrap Techniques for Marker Analysis

by G. Gamberoni, E. Lamma, F. Riguzzi, C. Scapoli, S. Storari

Knowledge Discovery in Neuroblastoma-related Biological Data

by E. van de Koppel, I. Slavkov, K. Astrahantseff, A. Schramm,
J.Schulte, J. Vandesompele, E. de Jong, S. Dzeroski, A. Knobbe

Partially-supervised context-specific independence mixture modeling by B. Georgi, A. Schliep

15:30-16:00 Coffee break

Session 3 – 16:00-17:20

Using Symmetric Causal Independence Models to Predict Gene Expression from Sequence Data

by R. Jurgelenaite, T. Heskes, T. Dijkstra

Identification of Cooperative Mechanisms in Transcription Regulatory Networks Using Non-supervised Learning Techniques

by A. T. Freitas, A. P. Ramalho, C. A. Oliveira, C. S. Nogueira,

M. C. Teixeira, I. Sá-Correia, A. L. Oliveira

Generating Data from the Evolution of Artificial Regulatory Networks

by Y. Sánchez-Dehesa, J.M. Peña, G. Beslon

Transcription Factor Binding Site Discovery by the Probabilistic Rules
by I. Khomicheva, A. Demin, E. Vityaev