You are viewing the site in preview mode

Skip to main content

Volume 14 Supplement 1

Computational Intelligence in Bioinformatics and Biostatistics: new trends from the CIBB conference series

Research

Edited by Riccardo Rizzo and Paulo JG Lisboa

Publication of this supplement was funded by the authors.

Seventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2010). Go to conference site.

Palermo, Italy16-18 September 2010

  2. Visualization concerns the representation of data visually and is an important task in scientific research. Protein-protein interactions (PPI) are discovered using either wet lab techniques, such mass spectrom...

    Authors: Giuseppe Agapito, Pietro Hiram Guzzi and Mario Cannataro
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S1
    Content type: Research Published on:

  3. The rationale for gathering information from plants procuring nitrogen through symbiotic interactions controlled by a common genetic program for a sustainable biofuel production is the high energy demanding ap...

    Authors: Luis Carlos Belarmino, Roberta Lane de Oliveira Silva, Nina da Mota Soares Cavalcanti, Nicolas Krezdorn, Ederson Akio Kido, Ralf Horres, Peter Winter, Günter Kahl and Ana Maria Benko-Iseppon
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S2
    Content type: Research Published on:

  4. Supervised machine learning approaches have been recently adopted in the inference of transcriptional targets from high throughput trascriptomic and proteomic data showing major improvements from with respect ...

    Authors: Luigi Cerulo, Vincenzo Paduano, Pietro Zoppoli and Michele Ceccarelli
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S3
    Content type: Research Published on:

  5. The diagnosis of many diseases can be often formulated as a decision problem; uncertainty affects these problems so that many computerized Diagnostic Decision Support Systems (in the following, DDSSs) have bee...

    Authors: Antonio d'Acierno, Massimo Esposito and Giuseppe De Pietro
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S4
    Content type: Research Published on:

  6. We introduce a Knowledge-based Decision Support System (KDSS) in order to face the Protein Complex Extraction issue. Using a Knowledge Base (KB) coding the expertise about the proposed scenario, our KDSS is ab...

    Authors: Antonino Fiannaca, Massimo La Rosa, Alfonso Urso, Riccardo Rizzo and Salvatore Gaglio
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S5
    Content type: Research Published on:

  7. Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from statistics to computer science. Following Handl et al., it can be summa...

    Authors: Raffaele Giancarlo, Giosué Lo Bosco, Luca Pinello and Filippo Utro
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S6
    Content type: Research Published on:

  8. Despite the importance of osmoprotectants, no previous in silico evaluation of high throughput data is available for higher plants. The present approach aimed at the identification and annotation of osmoprotectan...

    Authors: Ederson A Kido, José RC Ferreira Neto, Roberta LO Silva, Luis C Belarmino, João P Bezerra Neto, Nina M Soares-Cavalcanti, Valesca Pandolfi, Manassés D Silva, Alexandre L Nepomuceno and Ana M Benko-Iseppon
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S7
    Content type: Research Published on:

  9. K-means clustering is widely used for exploratory data analysis. While its dependence on initialisation is well-known, it is common practice to assume that the partition with lowest sum-of-squares (SSQ) total ...

    Authors: Paulo JG Lisboa, Terence A Etchells, Ian H Jarman and Simon J Chambers
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S8
    Content type: Research Published on:

  10. The capability of correlating specific genotypes with human diseases is a complex issue in spite of all advantages arisen from high-throughput technologies, such as Genome Wide Association Studies (GWAS). New ...

    Authors: Ivan Merelli, Andrea Calabria, Paolo Cozzi, Federica Viti, Ettore Mosca and Luciano Milanesi
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S9
    Content type: Research Published on:

  11. Recently, information derived by correlated mutations in proteins has regained relevance for predicting protein contacts. This is due to new forms of mutual information analysis that have been proven to be mor...

    Authors: Castrense Savojardo, Piero Fariselli, Pier Luigi Martelli and Rita Casadio
    Citation: BMC Bioinformatics 2013 14(Suppl 1):S10
    Content type: Research Published on:
Submit manuscript

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 2.9
    5-year Journal Impact Factor: 3.6
    Source Normalized Impact per Paper (SNIP): 0.821
    SCImago Journal Rank (SJR): 1.005

    Speed 2024
    Submission to first editorial decision (median days): 5
    Submission to acceptance (median days): 145

    Usage 2024
    Downloads: 7,556,602
    Altmetric mentions: 2,739

Follow

Sign up for article alerts and news from this journal

BMC Bioinformatics

ISSN: 1471-2105

Contact us