Pattern Recognition in Bioinformatics Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007. Proceedings /

The advancements of computational and informational techniques have enabled in silico testing of many lab-based experiments in life sciences before performing them in in vitro or in vivo. Though computational techniques are not capable of mimicking all wet-lab experiments, bioinformatics will inevit...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Rajapakse, Jagath C. (Επιμελητής έκδοσης), Schmidt, Bertil (Επιμελητής έκδοσης), Volkert, Gwenn (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Lecture Notes in Computer Science, 4774
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Sequence Analysis
  • Automated Methods of Predicting the Function of Biological Sequences Using GO and Rough Set
  • C-Based Design Methodology for FPGA Implementation of ClustalW MSA
  • A Two-Phase ANN Method for Genome-Wide Detection of Hormone Response Elements
  • An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming
  • cDNA-Derived Amino Acid Sequence from Rat Brain A2aR Possesses Conserved Motifs PMNYM of  TM 5 Domain, Which May Be Involved in Dimerization of A2aR
  • Strong GC and AT Skew Correlation in Chicken Genome
  • Comparative Analysis of a Hierarchical Bayesian Method for Quantitative Trait Loci Analysis for the Arabidopsis Thaliana
  • Prediction of Protein Structure, Interaction and Localization
  • Using Decision Templates to Predict Subcellular Localization of Protein
  • Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction
  • Using Fuzzy Support Vector Machine Network to Predict Low Homology Protein Structural Classes
  • SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM
  • Protein Fold Recognition Based Upon the Amino Acid Occurrence
  • Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties
  • Dynamic Outlier Exclusion Training Algorithm for Sequence Based Predictions in Proteins Using Neural Network
  • Bioinformatics on ?-Barrel Membrane Proteins: Sequence and Structural Analysis, Discrimination and Prediction
  • Estimation of Evolutionary Average Hydrophobicity Profile from a Family of Protein Sequences
  • Gene Expression Analysis
  • APMA Database for Affymetrix Target Sequences Mapping, Quality Assessment and Expression Data Mining
  • Ensemble of Dissimilarity Based Classifiers for Cancerous Samples Classification
  • Gene Expression Analysis of Leukemia Samples Using Visual Interpretation of Small Ensembles: A Case Study
  • Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering
  • Integrating Gene Expression Data from Microarrays Using the Self-Organising Map and the Gene Ontology
  • Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data
  • Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection
  • SVM-RFE with Relevancy and Redundancy Criteria for Gene Selection
  • In Silico Expression Profiles of Human Endogenous Retroviruses
  • Pathway Analysis
  • A Framework for Path Analysis in Gene Regulatory Networks
  • Transcriptional Gene Regulatory Network Reconstruction Through Cross Platform Gene Network Fusion
  • Reconstruction of Protein-Protein Interaction Pathways by Mining Subject-Verb-Objects Intermediates
  • Validation of Gene Regulatory Networks from Protein-Protein Interaction Data: Application to Cell-Cycle Regulation
  • Medical Informatics
  • Rough Sets and Fuzzy Sets Theory Applied to the Sequential Medical Diagnosis
  • In silico Identification of Putative Drug Targets in Pseudomonas aeruginosa Through Metabolic Pathway Analysis
  • Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification
  • Predicting Binding Peptides with Simultaneous Optimization of Entropy and Evolutionary Distance
  • Bioimaging
  • 3D Automated Nuclear Morphometric Analysis Using Active Meshes
  • Time-Frequency Method Based Activation Detection in Functional MRI Time-Series
  • High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface
  • Human Brain Anatomical Connectivity Analysis Using Sequential Sampling and Resampling
  • Classification of CT Brain Images of Head Trauma.