Logo - springer
Slogan - springer

Computer Science - Bioinformatics | Pattern Recognition in Bioinformatics - 9th IAPR International Conference, PRIB 2014, Stockholm,

Pattern Recognition in Bioinformatics

9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings

Comin, M., Käll, L., Marchiori, E., Ngom, A., Rajapakse, J.C. (Eds.)

2014, XII, 135 p. 29 illus.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$39.99

(net) price for USA

ISBN 978-3-319-09192-1

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$60.00

(net) price for USA

ISBN 978-3-319-09191-4

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

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.

Content Level » Research

Keywords » Bioinformatics - Computational biology - Pattern Matching - Pattern recognition - Protein-Protein Interaction Prediction - classification - computational proteomics - data mining - graph theory - information theory - support vector machines

Related subjects » Artificial Intelligence - Bioinformatics - Database Management & Information Retrieval - Image Processing - Public Health - Theoretical Computer Science

Table of contents 

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.

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Biology / Bioinformatics.