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ORCIDPRIB 2011: Delft, The Netherlands
- Marco Loog, Lodewyk F. A. Wessels, Marcel J. T. Reinders, Dick de Ridder:
Pattern Recognition in Bioinformatics - 6th IAPR International Conference, PRIB 2011, Delft, The Netherlands, November 2-4, 2011. Proceedings. Lecture Notes in Computer Science 7036, Springer 2011, ISBN 978-3-642-24854-2
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
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