PRIB 2011: Delft, The Netherlands

Session 1: Clustering

• Shuzhong Zhang, Kun Wang, Bilian Chen, Xiuzhen Huang:
  A New Framework for Co-clustering of Gene Expression Data. 1-12
  
• Alessandro Farinelli, Matteo Denitto, Manuele Bicego:
  Biclustering of Expression Microarray Data Using Affinity Propagation. 13-24
  
• Shruthi Prabhakara, Raj Acharya:
  A Two-Way Bayesian Mixture Model for Clustering in Metagenomics. 25-36
  
• Zejun Zheng, Thuy-Diem Nguyen, Bertil Schmidt:
  CRiSPy-CUDA: Computing Species Richness in 16S rRNA Pyrosequencing Datasets with CUDA. 37-49
  

Session 2: Biomarker Selection and Classification (1)

• Amirali Jafarian, Alioune Ngom, Luis Rueda:
  New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs. 50-62
  
• Xin Chen, Shizhong Xu, Yipeng Wang, Michael McClelland, Zhenyu Jia, Dan Mercola:
  Identification of Biomarkers for Prostate Cancer Prognosis Using a Novel Two-Step Cluster Analysis. 63-74
  
• Manuele Bicego, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
  Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels. 75-86
  

Session 3: Network Inference and Analysis (1)

• Jie Zheng, Iti Chaturvedi, Jagath C. Rajapakse:
  Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network. 87-96
  
• Laura Astola, Marian Groenenboom, Victoria Gomez Roldan, Fred van Eeuwijk, Robert D. Hall, Arnaud Bovy, Jaap Molenaar:
  Metabolic Pathway Inference from Time Series Data: A Non Iterative Approach. 97-108
  
• José Pedro Pinto, Isabel Rocha, Miguel Rocha:
  Highlighting Metabolic Strategies Using Network Analysis over Strain Optimization Results. 109-120
  

Session 4: Biomarker Selection and Classification (2)

• Holger Franken, Rainer Lehmann, Hans-Ulrich Häring, Andreas Fritsche, Norbert Stefan, Andreas Zell:
  Wrapper- and Ensemble-Based Feature Subset Selection Methods for Biomarker Discovery in Targeted Metabolomics. 121-132
  
• Roman Zakharov, Pierre Dupont:
  Ensemble Logistic Regression for Feature Selection. 133-144
  
• Prem Raj Adhikari, Bimal Babu Upadhyaya, Chen Meng, Jaakko Hollmén:
  Gene Selection in Time-Series Gene Expression Data. 145-156
  
• Hongyu Su, Juho Rousu:
  Multi-task Drug Bioactivity Classification with Graph Labeling Ensembles. 157-167
  

Session 5: Image Analysis (1)

• Kaya Kuru, Sertan Girgin:
  A Bilinear Interpolation Based Approach for Optimizing Hematoxylin and Eosin Stained Microscopical Images. 168-178
  
• Olivier Stern, Raphaël Marée, Jessica Aceto, Nathalie Jeanray, Marc Muller, Louis Wehenkel, Pierre Geurts:
  Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods. 179-190
  

Session 6: Biomarker Selection and Classification (3)

• Giuliano Armano, Camelia Chira, Nima Hatami:
  A New Gene Selection Method Based on Random Subspace Ensemble for Microarray Cancer Classification. 191-201
  
• Alessandro Perina, Pietro Lovato, Marco Cristani, Manuele Bicego:
  A Comparison on Score Spaces for Expression Microarray Data Classification. 202-213
  
• Wout Megchelenbrink, Martijn A. Huynen, Elena Marchiori:
  Flux Measurement Selection in Metabolic Networks. 214-224
  

Session 7: Network Inference and Analysis (2)

• Mohammed El-Kebir, Jaap Heringa, Gunnar W. Klau:
  Lagrangian Relaxation Applied to Sparse Global Network Alignment. 225-236
  
• Jagath C. Rajapakse, Iti Chaturvedi:
  Stability of Inferring Gene Regulatory Structure with Dynamic Bayesian Networks. 237-246
  
• Sepideh Babaei, Erik van den Akker, Jeroen de Ridder, Marcel J. T. Reinders:
  Integrating Protein Family Sequence Similarities with Gene Expression to Find Signature Gene Networks in Breast Cancer Metastasis. 247-259
  

Session 8: Sequence, Structure, and Interactions

• Yann Guermeur, Fabienne Thomarat:
  Estimating the Class Posterior Probabilities in Protein Secondary Structure Prediction. 260-271
  
• Frédéric Cazals, Noël Malod-Dognin:
  Shape Matching by Localized Calculations of Quasi-Isometric Subsets, with Applications to the Comparison of Protein Binding Patches. 272-283
  
• Jérôme Azé, Thomas Bourquard, Sylvie Hamel, Anne Poupon, David W. Ritchie:
  Using Kendall-τ Meta-Bagging to Improve Protein-Protein Docking Predictions. 284-295
  
• Ahmed Mokaddem, Mourad Elloumi:
  PAAA: A Progressive Iterative Alignment Algorithm Based on Anchors. 296-305
  

Session 9: Image Analysis (2)

• Aydin Ulas, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla:
  Heat Diffusion Based Dissimilarity Analysis for Schizophrenia Classification. 306-317
  
• Cristian Smochina, Radu Rogojanu, Vasile Manta, Walter G. Kropatsch:
  Epithelial Area Detection in Cytokeratin Microscopic Images Using MSER Segmentation in an Anisotropic Pyramid. 318-329
  
• Lu Cao, Kuan Yan, Leah Winkel, Marjo de Graauw, Fons J. Verbeek:
  Pattern Recognition in High-Content Cytomics Screens for Target Discovery - Case Studies in Endocytosis. 330-342
  

Last update Fri May 25 08:33:22 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page