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PRIB 2012: Tokyo, Japan
- Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad

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Pattern Recognition in Bioinformatics - 7th IAPR International Conference, PRIB 2012, Tokyo, Japan, November 8-10, 2012. Proceedings. Lecture Notes in Computer Science 7632, Springer 2012, ISBN 978-3-642-34122-9
Generic Methods - I
- Twan van Laarhoven, Elena Marchiori:

Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks. 1-13 - Pedro J. Ballester

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Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression. 14-25 - Sami Laroum, Béatrice Duval, Dominique Tessier, Jin-Kao Hao

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A Genetic Algorithm for Scale-Based Translocon Simulation. 26-37 - Yifeng Li, Alioune Ngom, Luis Rueda:

A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm. 38-48
Generic Methods - II
- Masae Hosoda, Yukie Akune, Kiyoko F. Aoki-Kinoshita

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Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns. 49-58 - Shuzhong Zhang, Kun Wang, Cody Ashby

, Bilian Chen, Xiuzhen Huang:
A Unified Adaptive Co-identification Framework for High-D Expression Data. 59-70 - Chendra Hadi Suryanto

, Hiroto Saigo
, Kazuhiro Fukui:
Protein Clustering on a Grassmann Manifold. 71-81
Visualization, Image Analysis, and Platforms
- Boris Shabash, Kay C. Wiese, Edward Glen:

Improving the Portability and Performance of jViz.RNA - A Dynamic RNA Visualization Software. 82-93 - Lavneet Singh, Girija Chetty

, Dharmendra Sharma
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A Novel Machine Learning Approach for Detecting the Brain Abnormalities from MRI Structural Images. 94-105 - Gabriel Keeble-Gagnère, Johan Nyström-Persson, Matthew I. Bellgard

, Kenji Mizuguchi
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An Open Framework for Extensible Multi-stage Bioinformatics Software. 106-117
Applications of Pattern Recognition Techniques
- João G. R. Cardoso

, Paulo Vilaça
, Simão Soares, Miguel Rocha
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An Algorithm to Assemble Gene-Protein-Reaction Associations for Genome-Scale Metabolic Model Reconstruction. 118-128 - Marcelo Maraschin, Amélia Somensi-Zeggio, Simone K. Oliveira, Shirley Kuhnen, Maíra M. Tomazzoli, Ana C. M. Zeri, Rafael Carreira

, Miguel Rocha
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A Machine Learning and Chemometrics Assisted Interpretation of Spectroscopic Data - A NMR-Based Metabolomics Platform for the Assessment of Brazilian Propolis. 129-140 - Yoshihiro Taguchi

, Akira Okamoto:
Principal Component Analysis for Bacterial Proteomic Analysis. 141-152
Protein Structure and Docking
- Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Yu. Torshin

, Valentina Sulimova, Oleg Seredin
, David Windridge
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Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction. 153-165 - Fabienne Thomarat, Fabien Lauer, Yann Guermeur:

Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction. 166-177 - Masahito Ohue

, Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama
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Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis. 178-187 - Cem Meydan

, Osman Ugur Sezerman
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Representation of Protein Secondary Structure Using Bond-Orientational Order Parameters. 188-197
Complex Data Analysis
- Yifeng Li, Alioune Ngom:

Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine. 198-209 - Raunaq Malhotra, Shruthi Prabhakara, Raj Acharya:

Predicting V(D)J Recombination Using Conditional Random Fields. 210-221 - Dusan Popovic, Alejandro Sifrim

, Georgios A. Pavlopoulos
, Yves Moreau
, Bart De Moor:
A Simple Genetic Algorithm for Biomarker Mining. 222-232
Sequence Analysis
- Tatsuya Akutsu

, Morihiro Hayashida, Takeyuki Tamura:
Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment. 233-242 - En-Shiun Annie Lee, Dennis Zhuang, Andrew K. C. Wong:

Aligning Discovered Patterns from Protein Family Sequences. 243-254 - Agnieszka Danek

, Rafal Pokrzywa, Izabela Makalowska
, Andrzej Polanski
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Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats. 255-266 - Ahmet Sinan Yavuz, Bugra Ozer, Osman Ugur Sezerman

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Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation. 267-276

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