Computational Intelligence Methods for Bioinformatics and Biostatistics
Springer International Publishing (Verlag)
978-3-319-24461-7 (ISBN)
The 25 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers focus problems concerning computational techniques in bioinformatics, systems biology, medical informatics and biostatistics.
GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations.- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation.- Statistical analysis of protein structural features: relationships and PCA grouping.- Consensus Clustering in Gene Expression.- Automated Detection of Fluorescent Probes in Molecular Imaging.- Applications of network-based survival analysis methods for pathways detection in cancer.- A New Feature Selection methodology for K-mers representation of DNA sequences.- The General Regression Neural Network to Classify Barcode and mini-barcode DNA.- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data.- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks.
| Erscheinungsdatum | 26.10.2015 |
|---|---|
| Reihe/Serie | Lecture Notes in Bioinformatics | Lecture Notes in Computer Science |
| Zusatzinfo | XIII, 314 p. 90 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
| Naturwissenschaften ► Biologie | |
| Schlagworte | Applications • Association Rule Mining • Clustering • Computer Science • Computer Science, general • conference proceedings • evolutionary algorithms • Feature Selection • Fuzzy Clustering • Gene Ontology • Image Analysis • Informatics • machine learning • Metabolic Pathways • Modularity • Multi-Objective Optimization • network analysis • Optimization • Parallel Computing • Protein Structure • Regularization • Research • semantic similarity • systems biology • Text Mining • weighted association rules |
| ISBN-10 | 3-319-24461-2 / 3319244612 |
| ISBN-13 | 978-3-319-24461-7 / 9783319244617 |
| Zustand | Neuware |
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