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E-raamat: Pattern Recognition in Bioinformatics: 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings

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Pattern Recognition in Bioinformatics: 9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. ProceedingsSuurem pilt

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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. 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.
Full Papers
Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions
1(9)
Chun-Wei Tung
Using Topology Information for Protein-Protein Interaction Prediction
10(13)
Adriana Birlutiu
Tom Heskes
Biases of Drug-Target Interaction Network Data
23(11)
Twan van Laarhoven
Elena Marchiori
Logol: Expressive Pattern Matching in Sequences. Application to Ribosomal Frameshift Modeling
34(14)
Catherine Belleannee
Olivier Sallou
Jacques Nicolas
Evolutionary Algorithm Based on New Crossover for the Biclustering of Gene Expression Data
48(12)
Ons Maatouk
Wassim Ayadi
Hend Bouziri
Beatrice Duval
SFFS-SW: A Feature Selection Algorithm Exploring the Small-World Properties of GNs
60(12)
Fabio Fernandes da Rocha Vicente
Fabricio Martins Lopes
CytomicsDB: A Metadata-Based Storage and Retrieval Approach for High-Throughput Screening Experiments
72(13)
E. Larios
Y. Zhang
L. Cao
F.J. Verbeek
CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from Expression Data Using Random Forest
85(13)
Seyed Ziaeddin Alborzi
D.A.K. Maduranga
Rui Fan
Jagath C. Rajapakse
Jie Zheng
Supervised Selective Kernel Fusion for Membrane Protein Prediction
98(12)
Alexander Tatarchuk
Valentina Sulimova
Ivan Torshin
Vadim Mottl
David Windridge
Short Abstracts
Analysis of miR.NA Expression Profiles in Breast Cancer Using Biclustering
110(2)
Antonino Fiannaca
Massimo La Rosa
Laura La Paglia
Riccardo Rizzo
Alfonso Urso
Gram-Positive and Gram-Negative Subcellular Localization Using Rotation Forest and Physicochemical-Based Features
112(2)
Abdollah Dehzangi
Rhys Heffernan
James Lyons
Alok Sharma
Kuldip Paliwal
Abdul Sattar
Data Driven Feature Selection for RNA-Seq Differential Expression Analysis
114(2)
Henry Han
Intramuscular Fat Percentage Estimation through Ultrasound Images
116(7)
Jose Luis Nunes
Alicia Fernandez
Federico Lecumberry
An Integrated Approach of Gene Expression and DNA-methylation Profiles of WNT Signaling Genes Uncovers Novel Prognostic Markers in Acute Myeloid Leukemia
123(2)
Erdogan Taskesen
Frank J. T. Staal
Marcel J. T. Reinders
Improving Performance of the eXtasy Model by Hierarchical Sampling
125(4)
Dusan Popovic
Alejandro Sifrim
Jesse Davis
Yves Moreau
Bart De Moor
Ensemble Neural Networks Scoring Functions for Accurate Binding Affinity Prediction of Protein-Ligand Complexes
129(2)
Hossam M. Ashtawy
Nihar R. Mahapatra
Integration of Gene Expression and DNA-methylation Profiles Improves Molecular Subtype Classification in Acute Myeloid Leukemia
131(2)
Erdogan Taskesen
Sepideh Babaei
Marcel J. T. Reinders
Jeroen de Ridder
The Relative Vertex Clustering Value -- A New Criterion for the Fast Discovery of Functional Modules in Protein Interaction Networks
133(2)
Alioune Ngom
Yifeng Li
Zina M. Ibrahim
Author Index 135
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