Call for poster abstracts
Links

 

IAPR
Tokyo Tech
JSBi

 

Accepted Papers

1 Y-H. Taguchi and Akira Okamoto. Principal component analysis for bacterial proteomic analysis 
3 Shuzhong Zhang, Kun Wang, Cody Ashby, Bilian Chen and Xiuzhen Huang. A Unified Adaptive Co-Identification Framework for High-D Expression Data
4 Dusan Popovic, Alejandro Sifrim, Georgios A. Pavlopoulos, Yves Moreau and Bart De Moor. A Simple Genetic Algorithm for Biomarker Mining 
5 Pedro Ballester. Machine Learning Scoring Functions based on Random Forest and Support Vector Regression
6 Masae Hosoda, Yukie Akune and Kiyoko Aoki-Kinoshita. Multiple Tree Alignment with Weights Applied to Carbohydrates to Extract Binding Recognition Patterns
8 En-Shiun Annie Lee, Enhui Zhuang and Andrew K.C. Wong. Identifying Binding Segments of the Ubiquitin Protein Family by Aligned Pattern Clusters
10 Sami Laroum, Béatrice Duval, Dominique Tessier and Jin-Kao Hao. A genetic algorithm for scaled-based translocon simulation
13 Johan Nystrom-Persson, Gabriel Keeble-Gagnère, Kenji Mizuguchi and Matthew I Bellgard. An Open Framework for Extensible Multi-Stage Bioinformatics Software
15 Tatsuya Akutsu, Morihiro Hayashida and Takeyuki Tamura. Finding Conserved Regions in Protein Structures Using Support Vector Machines and Structure Alignment
16 Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Torshin, Valentina Sulimova, Oleg Seredin and David Windridge. Application of the Multi-modal Relevance Vector Machine to the problem of protein secondary structure prediction
17 Agnieszka Danek, Rafał Pokrzywa, Izabela Makałowska and Andrzej Polański. Application of the Burrows-Wheeler Transform for Searching for Approximate Tandem Repeats
18 Masahito Ohue, Yuri Matsuzaki, Takashi Ishida and Yutaka Akiyama. Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: an Application to Interaction Pathway Analysis
19 Lavneet Singh and Girija Chetty. Investigating Brain Abnormalities From MRI Images Using Pattern Recognition and Machine Learning Techniques
20 Twan Van Laarhoven and Elena Marchiori. Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks
21 Raunaq Malhotra, Shruthi Prabhakara and R. Acharya. Predicting V(D)J recombination Using Conditional Random Fields
22 Marcelo Maraschin, Amélia Somensi-Zeggio, Simone K. Oliveira, Shirley Kuhnen, Maira M. Tomazzoli, Ana C. M. Zeri, Rafael Carreira and Miguel Rocha. A machine learning and chemometrics assisted interpretation of spectroscopic data - A NMR-based metabolomics platform for the assessment of Brazilian propolis
23 Fabienne Thomarat, Fabien Lauer and Yann Guermeur. Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction
25 Boris Shabash, Kay Wiese and Edward Glen. Improving the Portability and Performance of jViz.RNA, A Dynamic RNA Visualization Software
26 Yifeng Li and Alioune Ngom. Diagnose the Premalignant Pancreatic Cancer using High Dimensional Linear Machine
27 Chendra Hadi Suryanto, Hiroto Saigo and Kazuhiro Fukui. Protein clustering on a Grassmann manifold
28 Yifeng Li, Alioune Ngom and Luis Rueda. A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm
30 João Cardoso, Paulo Vilaça, Simão Soares and Miguel Rocha. An Algorithm to Assemble Gene-Protein-Reaction Associations for Genome-Scale Metabolic Model Reconstruction
31 Ahmet Sinan Yavuz, Bugra Ozer and Ugur Sezerman. Pattern recognition for subfamily level classification of GPCRs using motif distillation and distinguishing power evaluation
32 Md. Jahoor Alam and R.K. Brojen Singh. Transition of p53 states induced by glucose concentration in the system
33 Cem Meydan and Ugur Sezerman. Representation of Protein Secondary Structure using Bond-orientational Order Parameters