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PRIB 2012: Tokyo, Japan
- Tetsuo Shibuya, Hisashi Kashima, Jun Sese, Shandar Ahmad
:
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
:
Machine Learning Scoring Functions Based on Random Forest and Support Vector Regression. 14-25 - Sami Laroum, Béatrice Duval, Dominique Tessier, Jin-Kao Hao
:
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
:
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
:
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
:
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
:
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
:
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
:
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
:
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
:
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
:
Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats. 255-266 - Ahmet Sinan Yavuz, Bugra Ozer, Osman Ugur Sezerman
:
Pattern Recognition for Subfamily Level Classification of GPCRs Using Motif Distillation and Distinguishing Power Evaluation. 267-276
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