| Description |
1 online resource (xii, 135 pages) : illustrations |
| Series |
Lecture notes in bioinformatics, 0302-9743 ; 8626 |
|
LNCS sublibrary. SL 8, Bioinformatics |
|
Lecture notes in computer science. Lecture notes in bioinformatics ; 8626
|
|
LNCS sublibrary. SL 8, Bioinformatics
|
| 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 |
| Summary |
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 |
| Analysis |
computerwetenschappen |
|
computer sciences |
|
bioinformatics |
|
computational science |
|
patroonherkenning |
|
pattern recognition |
|
algoritmen |
|
algorithms |
|
computeranalyse |
|
computer analysis |
|
kunstmatige intelligentie |
|
artificial intelligence |
|
gezondheid |
|
health |
|
informatica |
|
informatics |
|
datamining |
|
data mining |
|
Information and Communication Technology (General) |
|
Informatie- en communicatietechnologie (algemeen) |
| Notes |
International conference proceedings |
|
Includes author index |
|
Online resource; title from PDF title page (SpringerLink, viewed August 26, 2014) |
| Subject |
Computational biology -- Congresses
|
|
Bioinformatics -- Congresses
|
|
Pattern recognition systems -- Congresses
|
|
Bioinformatics
|
|
Computational biology
|
|
Pattern recognition systems
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Comin, Matteo, editor
|
| ISBN |
9783319091921 |
|
3319091921 |
|
3319091913 |
|
9783319091914 |
|
