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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
|
| Edición: | 1st ed. 2014. |
| Colección: | Lecture Notes in Bioinformatics,
8626 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 245 | 1 | 0 | |a Pattern Recognition in Bioinformatics |h [electronic resource] : |b 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings / |c edited by Matteo Comin, Lukas Käll, Elena Marchiori, Alioune Ngom, Jagath Chandana Rajapakse. |
| 250 | |a 1st ed. 2014. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2014. | |
| 300 | |a XII, 135 p. 29 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Lecture Notes in Bioinformatics, |x 2366-6331 ; |v 8626 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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 submissions. The focus of the conference was on the latest Research in Pattern Recognition and Computational Intelligence-Based Techniques Applied to Problems in Bioinformatics and Computational Biology. | ||
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Medical informatics. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Computational and Systems Biology. |
| 650 | 2 | 4 | |a Health Informatics. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Algorithms. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 700 | 1 | |a Comin, Matteo. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Käll, Lukas. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Marchiori, Elena. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Ngom, Alioune. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Rajapakse, Jagath Chandana. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319091938 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319091914 |
| 830 | 0 | |a Lecture Notes in Bioinformatics, |x 2366-6331 ; |v 8626 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-09192-1 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||