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Computational Intelligence Methods for Bioinformatics and Biostatistics

7th International Meeting, CIBB 2010, Palermo, Italy, September 16-18, 2010, Revised Selected Papers

  • Riccardo Rizzo
  • Paulo J. G. Lisboa
Conference proceedings CIBB 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6685)

Also part of the Lecture Notes in Bioinformatics book sub series (LNBI, volume 6685)

Table of contents

  1. Front Matter
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  2. Tutorial

    1. Management and Analysis of Protein-to-Protein Interaction Data
      Mario Cannataro, Pietro Hiram Guzzi
      Pages 1-12

  3. Plenary Talks

    1. The Three Steps of Clustering in the Post-Genomic Era: A Synopsis
      R. Giancarlo, G. Lo Bosco, L. Pinello, F. Utro
      Pages 13-30
    2. De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks
      Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri
      Pages 31-43

  4. Sequence Analysis, Promoter Analysis and Identification of Transcription Factor Binding Sites

    1. Osmoprotectants in the Sugarcane (Saccharum spp.) Transcriptome Revealed by in Silico Evaluation
      Petra Barros dos Santos, Nina da Mota Soares-Cavalcanti, Gabriela S. Vieira-de-Melo, Ana Maria Benko-Iseppon
      Pages 44-58
    2. IP6K Gene Discovery in Plant mtDNA
      Fabio Fassetti, Ofelia Leone, Luigi Palopoli, Simona E. Rombo, Adolfo Saiardi
      Pages 59-71
    3. Identification and Expression of Early Nodulin in Sugarcane Transcriptome Revealed by in Silico Analysis
      Gabriela Souto Vieira-de-Mello, Petra Barros dos Santos, Nina da Mota Soares-Cavalcanti, Ana Maria Benko-Iseppon
      Pages 72-85

  5. Methods for the Unsupervised Analysis, Validation and Visualization of Structures Discovered in Bio-molecular Data – Prediction of Secondary and Tertiary Protein Structures

    1. An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice
      Anton Osokin, Dmitry Vetrov, Alexey Lebedev, Vladimir Galatenko, Dmitry Kropotov, Konstantin Anokhin
      Pages 86-97
    2. Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods
      Castrense Savojardo, Piero Fariselli, Pier Luigi Martelli, Priyank Shukla, Rita Casadio
      Pages 98-111
    3. Supervised Classification Methods for Mining Cell Differences as Depicted by Raman Spectroscopy
      Petros Xanthopoulos, Roberta De Asmundis, Mario Rosario Guarracino, Georgios Pyrgiotakis, Panos M. Pardalos
      Pages 112-122

  6. Gene Expression Data Analysis

    1. Use of Biplots and Partial Least Squares Regression in Microarray Data Analysis for Assessing Association between Genes Involved in Different Biological Pathways
      Niccoló Bassani, Federico Ambrogi, Danila Coradini, Elia Biganzoli
      Pages 123-134
    2. Qualitative Reasoning on Systematic Gene Perturbation Experiments
      Francesco Sambo, Barbara Di Camillo
      Pages 135-146
    3. Biclustering by Resampling
      Ekaterina Nosova, Roberto Tagliaferri, Francesco Masulli, Stefano Rovetta
      Pages 147-158
    4. Labeling Negative Examples in Supervised Learning of New Gene Regulatory Connections
      Luigi Cerulo, Vincenzo Paduano, Pietro Zoppoli, Michele Ceccarelli
      Pages 159-173
    5. MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking
      Kartick Chandra Mondal, Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandhyapadhyay, Nicolas Pasquier
      Pages 174-187

  7. Bio-medical Text Mining and Imaging – Methods for Diagnosis and Prognosis

    1. A Multi-relational Learning Framework to Support Biomedical Applications
      Teresa M. A. Basile, Floriana Esposito, Laura Caponetti
      Pages 188-202
    2. Data Driven Generation of Fuzzy Systems: An Application to Breast Cancer Detection
      Antonio d’Acierno, Giuseppe De Pietro, Massimo Esposito
      Pages 203-214
    3. A Knowledge Based Decision Support System for Bioinformatics and System Biology
      Antonino Fiannaca, Salvatore Gaglio, Massimo La Rosa, Daniele Peri, Riccardo Rizzo, Alfonso Urso
      Pages 215-228

  8. Mathematical Modelling and Simulation of Biological Systems

    1. Dynamic Simulations of Pathways Downstream of ERBB-Family: Exploration of Parameter Space and Effects of Its Variation on Network Behavior
      Lorenzo Tortolina, Nicoletta Castagnino, Cristina De Ambrosi, Raffaele Pesenti, Franco Patrone, Alberto Ballestrero et al.
      Pages 229-241
    2. Robustness Analysis of a Linear Dynamical Model of the Drosophila Gene Expression
      Alexandre Haye, Jaroslav Albert, Marianne Rooman
      Pages 242-252

  9. Intelligent Clinical Decision Support Systems (i-CDSS)

    1. Intelligent Clinical Decision Support Systems for Non-invasive Bladder Cancer Diagnosis
      Alexandru G. Floares, Carmen Floares, Oana Vermesan, Tiberiu Popa, Michael Williams, Sulaimon Ajibode et al.
      Pages 253-262
    2. Automatic Unsupervised Segmentation of Retinal Vessels Using Self-Organizing Maps and K-Means Clustering
      Carmen Alina Lupaşcu, Domenico Tegolo
      Pages 263-274
    3. Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods
      Yifeng Li, Alioune Ngom
      Pages 275-286
  10. Back Matter
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About these proceedings

Introduction

This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010.
The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).

Keywords

algorithmic learning computational biology learning classifier systems machine learning micorarray data analysis proteonomics systems biology

Editors and affiliations

  • Riccardo Rizzo
    • 1
  • Paulo J. G. Lisboa
    • 2
  1. 1.ICAR-CNR, Consiglio Nazionale delle RicerchePalermoItaly
  2. 2.School of Computing and Mathematical SciencesLiverpool John Moores UniversityLiverpoolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-21946-7
  • Copyright Information Springer-Verlag GmbH Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-21945-0
  • Online ISBN 978-3-642-21946-7
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site