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日本バイオインフォマティクス学会 | 論文
- Statistical Inference Methods for Detecting Altered Gene Associations
- Multi-Class Support Vector Machines for Protein Secondary Structure Prediction
- Selection of Causal Gene Sets from Transcriptional Profiling by FNN Modeling and Prediction of Lymphoma Outcome
- Fragment Peptide Library (FRAP) and Analysis of Motifs
- Backbone Conformational Pattern Clustering of Three-Dimensional Peptide Fragments of Proteins
- E-CELL: Software Environment for Whole Cell Simulation
- Prediction of Debacle Points for Robustness of Biological Pathways by Using Recurrent Neural Networks
- Harmonic Analysis of Protein Sequences
- SIMFLY: The Simulation of a Fly Embryo
- The Potential Use of SUISEKI as a Protein Interaction Discovery Tool
- Expression Profiles and Biological Function
- A High-Throughput Annotation System of Rice Genome Sequence at RGP
- RAD: Rice Annotation Database
- Large Scale Statistical Prediction of Protein-Protein Interaction by Potentially Interacting Domain (PID) Pair
- Development of Residue Look-Up Tables and Graphical Representation of Solvent Accessibility in Proteins
- A PARALLEL HYBRID GA FOR PEPTIDE 3-D STRUCTURE PREDICTION
- SUFFIX TECHNIQUES AS A RAPID METHOD FOR RNA SUBSTRUCTURE SEARCH
- Automated Inference Pipeline for Assessment of Lateral Gener Transfer among Microbial Genomes
- GoodMotif: The System for Finding High Quality Motifs That Can Discriminate a Unique Protein Family
- A Consensus Transmembrane Topology Prediction Method of High-Reliability