| 036a | XA-DE |
| 037b | eng |
| 077a | 365853402 Buchausg. u.d.T.: ‡: 6th International Conference on Practical Applications of Computational Biology & Bioinformatics |
| 087q | 978-3-642-28838-8 |
| 100 | Rocha, Miguel P. |
| 104b | Luscombe, Nicholas |
| 108b | Fdez-Riverola, Florentino |
| 112b | Rodríguez, Juan M. Corchado |
| 331 | 6th International Conference on Practical Applications of Computational Biology & Bioinformatics |
| 410 | Berlin, Heidelberg |
| 412 | Springer Berlin Heidelberg |
| 425 | 2012 |
| 425a | 2012 |
| 433 | Online-Ressource (XIV, 286p, digital) |
| 451 | Advances in Intelligent and Soft Computing ; 154 |
| 501 | Description based upon print version of record |
| 517 | Title; Preface; Organization; Contents; Data and Text Mining I; Data and Text Mining II; Phylogenetics and Other Applications; Biomedical Applications; Sequence Analysis and Next Generation Sequencing; Systems Biology and Omics; Parallel Spectral Clustering for the Segmentation of cDNA Microarray Images; Introduction; Parallel Spectral Clustering: Justifications; Spectral Clustering; Affinity Measure; Method; Choice of the Affinity Parameter; Choice of the Number of Clusters; Parallel Implementation of the Spectral Clustering Algorithm; Numerical Experiments; Conclusion; References. Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclustersIntroduction; Classification of Clinical Expression Time-Series; Feature Discretization; Methods; Biclustering; CCC-Biclustering; Meta-biclustering; Classification; Results and Discussion; Dataset and Preprocessing; Performance Evaluation; Meta-biclusters Classifier; Tests with Real-Valued and Discretized Versions of the Original Dataset; Conclusions and Future Work; References. Parallel e-CCC-Biclustering: Mining Approximate Temporal Patterns in GeneExpression Time Series Using Parallel BiclusteringIntroduction; Methods; Sequential e-CCC-Biclustering; Parallel e-CCC-Biclustering; Computing Valid Right-Maximal Biclusters; Deleting Non Left-Maximal Biclusters; Deleting Valid Models Representing the Same e-CCC-Biclusters; Results and Discussion; Conclusions and Future Work; References; Identification of Regulatory Binding Sites on mRNA Using in Vivo Derived Informationsand SVMs; Introduction; Approach; Materials and Methods; Experiments and Results. Discussion and ConclusionReferences; Parameter Influence in Genetic Algorithm Optimization of Support Vector Machines; Introduction; Methods; Experiments; Optimization Parameters; Results; Discussion; Conclusions; References; Biological Knowledge Integration in DNA Microarray Gene Expression Classification Based on Rough Set Theory; Introduction and Related Work; Rough Set, Variable Precision Rough Set and CAI Model; Introducing Biological Knowledge; Classification Process; Experimental Results; Conclusions and Future Work; References. Quantitative Assessment of Estimation Approaches for Mining over Incomplete Data in Complex Biomedical Spaces: A Case Studyon Cerebral AneurysmsIntroduction; Background and RelatedWork; Metrics for Content-Based Retrieval; Data Collection: Cerebral Aneurysms; Value Estimation Approaches; Accuracy of Value Estimation; Experimental Evaluation; Selection of Metric for CBR Infrastructure; Estimation Error in the Aneurysms Dataset; Conclusions and Future Work; References; ASAP: An Automated System for Scientific Literature Search in PubMed Using WebAgents; Introduction; Related Work. Developed Work |
| 527 | Buchausg. u.d.T.: ‡: 6th International Conference on Practical Applications of Computational Biology & Bioinformatics |
| 540a | ISBN 978-3-642-28839-5 |
| 700 | |UYQ |
| 700 | |COM004000 |
| 700b | |570.285 |
| 700c | |Q342 |
| 750 | Juan M. Corchado Rodríguez |
| 753 | The growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology is still increasing driven by new advances in Next Generation Sequencing, several types of the so called omics data and image acquisition, just to name a few. The analysis of the datasets that produces and its integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Within this scenario of increasing data availability, Systems Biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. Indeed, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB-12 hopes to contribute to this effort promoting this fruitful interaction. PACBB'12 technical program included 32 papers from a submission pool of 61 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly have promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work that is being developed by each of the participants. |
| 902s | 214246019 Bioinformatik |
| 902f | |Kongress |
| 012 | 363412611 |
| 081 | Rocha, Miguel P.: 6th International Conference on Practical Applications of Computational Biology & Bioinformatics |
| 100 | Springer E-Book |
| 125a | Elektronischer Volltext - Campuslizenz |
| 655e | $uhttp://dx.doi.org/10.1007/978-3-642-28839-5 |
