Related articles have been published in a supplement to BMC Genomics.
Volume 15 Supplement 13
Selected articles from the 9th International Symposium on Bioinformatics Research and Applications (ISBRA-13): Bioinformatics
Proceedings
Edited by Cynthia Gibas, Oliver Eulenstein and Zhipeng Cai
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges and be found in the individual articles. The peer review process was overseen by the Supplement Editors in accordance with BioMed Central's peer review guidelines for supplements. The Supplement Editors declare that they have no competing interests.
9th International Symposium on Bioinformatics Research and Applications (ISBRA'13). Go to conference site.
Charlotte, NC, USA20-22 May 2013
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Citation: BMC Bioinformatics 2014 15(Suppl 13):S1
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RiboFSM: Frequent subgraph mining for the discovery of RNA structures and interactions
Frequent subgraph mining is a useful method for extracting meaningful patterns from a set of graphs or a single large graph. Here, the graph represents all possible RNA structures and interactions. Patterns th...
Citation: BMC Bioinformatics 2014 15(Suppl 13):S2 -
Refining discordant gene trees
Evolutionary studies are complicated by discordance between gene trees and the species tree in which they evolved. Dealing with discordant trees often relies on comparison costs between gene and species trees,...
Citation: BMC Bioinformatics 2014 15(Suppl 13):S3 -
Feature selection and classifier performance on diverse bio- logical datasets
There is an ever-expanding range of technologies that generate very large numbers of biomarkers for research and clinical applications. Choosing the most informative biomarkers from a high-dimensional data set...
Citation: BMC Bioinformatics 2014 15(Suppl 13):S4 -
The sensitivity and significance analysis of parameters in the model of pH regulation on lactic acid production by Lactobacillus bulgaricus
The excessive production of lactic acid by L. bulgaricus during yogurt storage is a phenomenon we are always tried to prevent. The methods used in industry either control the post-acidification inefficiently or k...
Citation: BMC Bioinformatics 2014 15(Suppl 13):S5 -
Network-based modular latent structure analysis
High-throughput expression data, such as gene expression and metabolomics data, exhibit modular structures. Groups of features in each module follow a latent factor model, while between modules, the latent fac...
Citation: BMC Bioinformatics 2014 15(Suppl 13):S6
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