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Applications of Statistical and Machine Learning Methods in Bioinformatics

Series:

Jaroslaw Meller and Wieslaw Nowak

Contents: Baoqiang Cao/Mario Medvedovic/Jaroslaw Meller: Prediction of Transmembrane Domains and Pore-facing Residues in Beta-barrel Membrane Proteins – Rafał Adamczak/Łukasz Pepłowski/Wiesław Nowak: Performance of Neural Networks Based Transmembrane Helix Prediction Methods Applied to Mosquito Anopheles Gambiae G-Protein Coupled Odorant Receptors – Frank Emmert-Streib/Matthias Dehmer: A Systems Biology approach for the classification of DNA Microarray Data – Isabelle Rivals/Léon Personnaz: A procedure for the evaluation of the discriminatory power of differentially expressed genes – Davide Anguita/Dario Sterpi: Multiclass SVM for the Classification of Microarray Data – Shiro Usui: Modeling approach and neuroinformatics in vision science – Zvi Boger: Experience in the Applications of Artificial Neural Networks in Bio-Informatics – Jaroslaw Meller/Rafał Adamczak/Michael P. Scola/Michael Barnes/Susan D. Thompson/Murray H. Passo/Hermine I. Brunner/David N. Glass/Alexei A. Grom: Machine Learning Analysis of Expression Profiles of Synovial Tissue Cytokines Helps Identify Patients with Systemic Onset Juvenile Rheumatoid Arthritis – Anil G. Jegga/Jing Chen/Sivakumar Gowrisankar/Mrunal A. Deshmukhl/Bruce J. Aronow: GenomeTrafac: A Wohle-Genome Resource for the Detection of Conserved Transcription Factor Binding Site Motifs and Clusters in Promoters and Flanking Regions of Known Human-Mouse Gene Orthologs.