Del 8626 i serien Lecture Notes in Computer Science

Pattern Recognition in Bioinformatics

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

Häftad, Engelska, 2014

AvMatteo Comin,Lukas Käll,Elena Marchiori,Alioune Ngom,Jagath Chandana Rajapakse

569 kr

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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.

Produktinformation

Utgivningsdatum2014-08-05
Mått155 x 235 x 9 mm
Vikt236 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor135
FörlagSpringer International Publishing AG
ISBN9783319091914

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Biovetenskap inom Naturvetenskap och teknik
Databaser inom Data och IT

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.

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