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Pattern Recognition in Bioinformatics 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010, Proceedings /
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Lecture Notes in Bioinformatics,
6282 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Classification of Biological Sequences
- Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger
- Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family
- Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search
- Structured Output Prediction of Anti-cancer Drug Activity
- SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence Context
- Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence
- Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human Populations
- Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data
- Novel Machine Learning Methods for MHC Class I Binding Prediction
- Unsupervised Learning Methods for Biological Sequences
- SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads
- The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive Strings
- An Algorithm to Find All Identical Motifs in Multiple Biological Sequences
- Discovery of Non-induced Patterns from Sequences
- Exploring Homology Using the Concept of Three-State Entropy Vector
- A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem
- Polynomial Supertree Methods Revisited
- Enhancing Graph Database Indexing by Suffix Tree Structure
- Learning Methods for Gene Expression and Mass Spectrometry Data
- Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data
- Iterated Local Search for Biclustering of Microarray Data
- Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray
- Measuring the Quality of Shifting and Scaling Patterns in Biclusters
- Frequent Episode Mining to Support Pattern Analysis in Developmental Biology
- Time Series Gene Expression Data Classification via L 1-norm Temporal SVM
- Bioimaging
- Sub-grid and Spot Detection in DNA Microarray Images Using Optimal Multi-level Thresholding
- Quantification of Cytoskeletal Protein Localization from High-Content Images
- Pattern Recognition for High Throughput Zebrafish Imaging Using Genetic Algorithm Optimization
- Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
- Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging
- Molecular Structure Prediction
- A Matrix Algorithm for RNA Secondary Structure Prediction
- Exploiting Long-Range Dependencies in Protein ?-Sheet Secondary Structure Prediction
- Alpha Helix Prediction Based on Evolutionary Computation
- An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps
- Protein Protein Interaction and Network Inference
- Biological Protein-Protein Interaction Prediction Using Binding Free Energies and Linear Dimensionality Reduction
- Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information
- SFFS-MR: A Floating Search Strategy for GRNs Inference
- Revisiting the Voronoi Description of Protein-Protein Interfaces: Algorithms
- MC4: A Tempering Algorithm for Large-Sample Network Inference
- Flow-Based Bayesian Estimation of Nonlinear Differential Equations for Modeling Biological Networks.