Pattern Recognition in Bioinformatics 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings /

This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. The 9 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 29 submissio...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Comin, Matteo (Editor ), Käll, Lukas (Editor ), Marchiori, Elena (Editor ), Ngom, Alioune (Editor ), Rajapakse, Jagath Chandana (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Lecture Notes in Bioinformatics, 8626
Temas:
Bioinformatics.
Medical informatics.
Pattern recognition systems.
Data mining.
Algorithms.
Artificial intelligence.
Computational and Systems Biology.
Health Informatics.
Automated Pattern Recognition.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • FULL PAPERS
  • Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions
  • Using Topology Information for Protein-Protein Interaction Prediction
  • Biases of drug{target interaction network data
  • Logol: Expressive Pattern Matching in sequences Application to Ribosomal Frameshift Modeling
  • Evolutionary Algorithm based on New Crossover for the Biclustering of Gene Expression Data
  • SFFS-SW: A feature selection algorithm exploring the small-world properties of GNs
  • CytomicsDB: A Metadata-based storage and retrieval approach for High-Throughput Screening Experiments
  • CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory
  • Networks from Expression Data Using Random Forest
  • SHORT ABSTRACTS
  • Analysis of miRNA expression profiles in breast cancer using biclustering
  • Gram-positive and Gram-negative Subcellular Localization Using Rotation Forest and Physicochemical-based Features
  • Data Driven Feature Selection for RNA-Seq Differential Expression Analysis
  • Intramuscular fat percentage estimation through ultrasound images
  • An integrated approach of gene expression and DNA-methylation profiles of WNT signaling genes uncovers novel prognostic markers in Acute Myeloid Leukemia
  • Improving performance of the eXtasy model by hierarchical sampling
  • Popovic et al.Ensemble Neural Networks Scoring Functions for Accurate Binding Affinity
  • Prediction of Protein-Ligand Complexes
  • Integration of Gene Expression and DNA-methylation Profiles Improves Molecular Subtype Classification in Acute Myeloid Leukemia
  • The Relative Vertex-to-Vertex Clustering Value- A New Criterion for the Fast Detection of Functional Modules in Protein Interaction Networks.

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