Pattern recognition in bioinformatics 6th IAPR International Conference, PRIB 2011, Delft, the Netherlands, November 2-4, 2011, proceedings /
This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover th...
| Corporate Authors: | PRIB (Meeting) Delft, Netherlands) |
|---|---|
| Other Authors: | PRIB (Meeting), Loog, Marco., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Heidelberg :
Springer,
©2011.
Berlin ; Heidelberg : [2011] |
| Physical Description: |
1 online resource (xii, 344 pages). |
| Series: |
Lecture notes in computer science. Lecture notes in bioinformatics ;
7036. Lecture notes in computer science. LNCS sublibrary. Bioinformatics. |
| Subjects: |
| Summary: |
This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions. |
|---|---|
| Item Description: |
Includes bibliographical references and author index. This book constitutes the refereed proceedings of the 6th International Conference on Pattern Recognition in Bioinformatics, PRIB 2011, held in Delft, The Netherlands, in November 2011. The 29 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers cover the wide range of possible applications of bioinformatics in pattern recognition: novel algorithms to handle traditional pattern recognition problems such as (bi)clustering, classification and feature selection; applications of (novel) pattern recognition techniques to infer and analyze biological networks and studies on specific problems such as biological image analysis and the relation between sequence and structure. They are organized in the following topical sections: clustering, biomarker selection and classification, network inference and analysis, image analysis, and sequence, structure, and interactions. Machine generated contents note: New Framework for Co-clustering of Gene Expression Data -- Biclustering of Expression Microarray Data Using Affinity Propagation / Shuzhong Zhang / Kun Wang / Bilian Chen / Xiuzhen Huang -- Two-Way Bayesian Mixture Model for Clustering in Metagenomics / Manuele Bicego / Alessandro Farinelli / Matteo Denitto -- CRiSPy-CUDA: Computing Species Richness in 16S rRNA Pyrosequencing Datasets with CUDA / Shruthi Prabhakara / Raj Acharya -- New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs / Bertil Schmidt / Thuy-Diem Nguyen / Zejun Zheng -- Identification of Biomarkers for Prostate Cancer Prognosis Using a Novel Two-Step Cluster Analysis / Amirali Jafarian / Alioune Ngom / Luis Rueda -- Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels / Zhenyu Jia / Dan Mercola / Yipeng Wang / Xin Chen / Shizhong Xu / Michael McClelland -- Integration of Epigenetic Data in Bayesian Network Modeling of Gene Regulatory Network / Pedro Aguiar / Andř Martins / Vittorio Murino / Umberto Castellani / Peter Sch fler / Mario Figueiredo / Manuele Bicego / Aychn Ulas -- Metabolic Pathway Inference from Time Series Data: A Non Iterative Approach / Iti Chaturvedi / Jie Zheng / Jagath C. Rajapakse -- Highlighting Metabolic Strategies Using Network Analysis over Strain Optimization Results / Laura Astola / Marian Groenenboom / Victoria Gomez Roldan / Fred van Eeuwijk / Robert D. Hall / Arnaud Bovy / Jaap Molenaar -- Wrapper- and Ensemble-Based Feature Subset Selection Methods for Biomarker Discovery in Targeted Metabolomics / Još Pedro Pinto / Isabel Rocha / Miguel Rocha -- Ensemble Logistic Regression for Feature Selection / Holger Franken / Rainer Lehmann / Hans-Ulrich Hr̃ing / Andreas Fritsche / Norbert Stefan / Andreas Zell. Note continued: PAAA: A Progressive Iterative Alignment Algorithm Based on Anchors / Jř̥me Až / Thomas Bourquard / Sylvie Hamel / Anne Poupon / David W. Ritchie -- Heat Diffusion Based Dissimilarity Analysis for Schizophrenia Classification / Ahmed Mokaddem / Mourad Elloumi -- Epithelial Area Detection in Cytokeratin Microscopic Images Using MSER Segmentation in an Anisotropic Pyramid / Aydin Ulas / Umberto Castellani / Vittorio Murino / Marcella Bellani / Michele Tansella / Paolo Brambilla -- Pattern Recognition in High-Content Cytomics Screens for Target Discovery-Case Studies in Endocytosis / Cristian Smochina / Radu Royojanu / Vasile Manta / Walter Kropatsch. |
| Physical Description: |
1 online resource (xii, 344 pages). |
| Bibliography: |
Includes bibliographical references and author index. |
| ISBN: |
9783642248559 3642248551 |
| ISSN: |
0302-9743. |