Pattern recognition in bioinformatics : 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings / Tetsuo Shibuya [and others] (eds.).

By: (7th : PRIB (Meeting) (7th : 2012 : Tokyo, Japan)
Contributor(s): Shibuya, Tetsuo
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 7632.; Lecture notes in computer science: ; LNCS sublibrary: Publisher: Berlin ; New York : Springer, ©2012Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642341236; 3642341233; 3642341225; 9783642341229Other title: PRIB 2012Subject(s): Bioinformatics -- Congresses | Pattern recognition systems -- Congresses | Publication Formats | Investigative Techniques | Information Science | Biology | Analytical, Diagnostic and Therapeutic Techniques and Equipment | Biological Science Disciplines | Publication Characteristics | Natural Science Disciplines | Disciplines and Occupations | Pattern Recognition, Automated | Congresses | Computational Biology | Methods | Informatique | Bioinformatics | Pattern recognition systems | Computer science | Data mining | Artificial intelligence | Optical pattern recognition | Bioinformatics | Pattern Recognition | Algorithm Analysis and Problem Complexity | computerwetenschappen | computer sciences | computational science | patroonherkenning | algoritmen | algorithms | computeranalyse | computer analysis | kunstmatige intelligentie | gezondheid | health | informatica | informatics | datamining | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Congress. | Electronic books. | Conference papers and proceedings. | Computer software. Additional physical formats: Print version:: Pattern recognition in bioinformatics.DDC classification: 570.285 LOC classification: QH324.2 | .P75 2012Online resources: Click here to access online
Contents:
Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks / Twan van Laarhoven and Elena Marchiori -- Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression / Pedro J. Ballester -- A Genetic Algorithm for Scale-Based Translocon Simulation / Sami Laroum, Béatrice Duval, Dominique Tessier and Jin-Kao Hao -- A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm / Yifeng Li, Alioune Ngom and Luis Rueda -- Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns / Masae Hosoda, Yukie Akune and Kiyoko F. Aoki-Kinoshita -- A Unified Adaptive Co-identification Framework for High-D Expression Data / Shuzhong Zhang, Kun Wang, Cody Ashby, Bilian Chen and Xiuzhen Huang -- Protein Clustering on a Grassmann Manifold / Chendra Hadi Suryanto, Hiroto Saigo and Kazuhiro Fukui -- Improving the Portability and Performance of jViz. RNA -- A Dynamic RNA Visualization Software / Boris Shabash, Kay Wiese and Edward Glen -- A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images / Lavneet Singh, Girija Chetty and Dharmendra Sharma.
An Open Framework for Extensible Multi-stage Bioinformatics Software / Gabriel Keeble-Gagnère, Johan Nyström-Persson, Matthew I. Bellgard and Kenji Mizuguchi -- An Algorithm to Assemble Gene-Protein-Reaction Associations for Genome-Scale Metabolic Model Reconstruction / João Cardoso, Paulo Vilaça, Simão Soares and Miguel Rocha -- A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data -- A NMR-Based Metabolomics Platform for the Assessment of Brazilian Propolis / Marcelo Maraschin, Amélia Somensi-Zeggio, Simone K. Oliveira, Shirley Kuhnen and Maíra M. Tomazzoli, et al. -- Principal Component Analysis for Bacterial Proteomic Analysis / Y. -h. Taguchi and Akira Okamoto -- Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction / Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Torshin and Valentina Sulimova, et al. -- Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction / Fabienne Thomarat, Fabien Lauer and Yann Guermeur -- Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis / Masahito Ohue, Yuri Matsuzaki, Takashi Ishida and Yutaka Akiyama.
Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters / Cem Meydan and Osman Ugur Sezerman -- Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine / Yifeng Li and Alioune Ngom -- Predicting V(D)J Recombination Using Conditional Random Fields / Raunaq Malhotra, Shruthi Prabhakara and Raj Acharya -- A Simple Genetic Algorithm for Biomarker Mining / Dusan Popovic, Alejandro Sifrim, Georgios A. Pavlopoulos, Yves Moreau and Bart De Moor -- Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment / Tatsuya Akutsu, Morihiro Hayashida and Takeyuki Tamura -- Aligning Discovered Patterns from Protein Family Sequences / En-Shiun Annie Lee, Dennis Zhuang and Andrew K.C. Wong -- Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats / Agnieszka Danek, Rafał Pokrzywa, Izabela Makałowska and Andrzej Polański -- Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation / Ahmet Sinan Yavuz, Bugra Ozer and Osman Ugur Sezerman.
Summary: This book constitutes the refereed proceedings of the 7th International Conference on Pattern Recognition in Bioinformatics, PRIB 2012, held in Tokyo, Japan, in November 2012. The 24 revised full papers presented were carefully reviewed and selected from 33 submissions. Their topics are widely ranging from fundamental techniques, sequence analysis to biological network analysis. The papers are organized in topical sections on generic methods, visualization, image analysis, and platforms, applications of pattern recognition techniques, protein structure and docking, complex data analysis, and sequence analysis.
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Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks / Twan van Laarhoven and Elena Marchiori -- Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression / Pedro J. Ballester -- A Genetic Algorithm for Scale-Based Translocon Simulation / Sami Laroum, Béatrice Duval, Dominique Tessier and Jin-Kao Hao -- A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm / Yifeng Li, Alioune Ngom and Luis Rueda -- Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns / Masae Hosoda, Yukie Akune and Kiyoko F. Aoki-Kinoshita -- A Unified Adaptive Co-identification Framework for High-D Expression Data / Shuzhong Zhang, Kun Wang, Cody Ashby, Bilian Chen and Xiuzhen Huang -- Protein Clustering on a Grassmann Manifold / Chendra Hadi Suryanto, Hiroto Saigo and Kazuhiro Fukui -- Improving the Portability and Performance of jViz. RNA -- A Dynamic RNA Visualization Software / Boris Shabash, Kay Wiese and Edward Glen -- A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images / Lavneet Singh, Girija Chetty and Dharmendra Sharma.

An Open Framework for Extensible Multi-stage Bioinformatics Software / Gabriel Keeble-Gagnère, Johan Nyström-Persson, Matthew I. Bellgard and Kenji Mizuguchi -- An Algorithm to Assemble Gene-Protein-Reaction Associations for Genome-Scale Metabolic Model Reconstruction / João Cardoso, Paulo Vilaça, Simão Soares and Miguel Rocha -- A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data -- A NMR-Based Metabolomics Platform for the Assessment of Brazilian Propolis / Marcelo Maraschin, Amélia Somensi-Zeggio, Simone K. Oliveira, Shirley Kuhnen and Maíra M. Tomazzoli, et al. -- Principal Component Analysis for Bacterial Proteomic Analysis / Y. -h. Taguchi and Akira Okamoto -- Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction / Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Torshin and Valentina Sulimova, et al. -- Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction / Fabienne Thomarat, Fabien Lauer and Yann Guermeur -- Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis / Masahito Ohue, Yuri Matsuzaki, Takashi Ishida and Yutaka Akiyama.

Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters / Cem Meydan and Osman Ugur Sezerman -- Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine / Yifeng Li and Alioune Ngom -- Predicting V(D)J Recombination Using Conditional Random Fields / Raunaq Malhotra, Shruthi Prabhakara and Raj Acharya -- A Simple Genetic Algorithm for Biomarker Mining / Dusan Popovic, Alejandro Sifrim, Georgios A. Pavlopoulos, Yves Moreau and Bart De Moor -- Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment / Tatsuya Akutsu, Morihiro Hayashida and Takeyuki Tamura -- Aligning Discovered Patterns from Protein Family Sequences / En-Shiun Annie Lee, Dennis Zhuang and Andrew K.C. Wong -- Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats / Agnieszka Danek, Rafał Pokrzywa, Izabela Makałowska and Andrzej Polański -- Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation / Ahmet Sinan Yavuz, Bugra Ozer and Osman Ugur Sezerman.

International conference proceedings.

This book constitutes the refereed proceedings of the 7th International Conference on Pattern Recognition in Bioinformatics, PRIB 2012, held in Tokyo, Japan, in November 2012. The 24 revised full papers presented were carefully reviewed and selected from 33 submissions. Their topics are widely ranging from fundamental techniques, sequence analysis to biological network analysis. The papers are organized in topical sections on generic methods, visualization, image analysis, and platforms, applications of pattern recognition techniques, protein structure and docking, complex data analysis, and sequence analysis.

Includes bibliographical references and index.

English.

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