Volume 16 Supplement 13
Proceedings of the 12th Annual MCBIOS Conference
Proceedings
Edited by Jonathan D Wren, Shraddah Thakkar, Ramin Homayouni, Donald J Johann and Mikhail G Dozmorov
Publication of this supplement has not been supported by sponsorhsip. Information about the source of funding for publication charges can be found in the individual articles. Articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
12th Annual MCBIOS Conference. Go to conference site.
Little Rock, AR, USA13-14 March 2015
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Citation: BMC Bioinformatics 2015 16(Suppl 13):S1
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Efficient experimental design for uncertainty reduction in gene regulatory networks
An accurate understanding of interactions among genes plays a major role in developing therapeutic intervention methods. Gene regulatory networks often contain a significant amount of uncertainty. The process ...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S2 -
Dynamical modeling of uncertain interaction-based genomic networks
Most dynamical models for genomic networks are built upon two current methodologies, one process-based and the other based on Boolean-type networks. Both are problematic when it comes to experimental design pu...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S3 -
DMAP: a connectivity map database to enable identification of novel drug repositioning candidates
Drug repositioning is a cost-efficient and time-saving process to drug development compared to traditional techniques. A systematic method to drug repositioning is to identify candidate drug's gene expression ...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S4 -
Density-based parallel skin lesion border detection with webCL
Dermoscopy is a highly effective and noninvasive imaging technique used in diagnosis of melanoma and other pigmented skin lesions. Many aspects of the lesion under consideration are defined in relation to the ...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S5 -
An adverse event capture and management system for cancer studies
Comprehensive capture of Adverse Events (AEs) is crucial for monitoring for side effects of a therapy while assessing efficacy. For cancer studies, the National Cancer Institute has developed the Common Termin...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S6 -
Enhancing cancer clonality analysis with integrative genomics
It is understood that cancer is a clonal disease initiated by a single cell, and that metastasis, which is the spread of cancer from the primary site, is also initiated by a single cell. The seemingly natural ...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S7 -
A heuristic approach to determine an appropriate number of topics in topic modeling
Topic modelling is an active research field in machine learning. While mainly used to build models from unstructured textual data, it offers an effective means of data mining where samples represent documents,...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S8 -
Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis
As the major histocompatibility complex (MHC), human leukocyte antigens (HLAs) are one of the most polymorphic genes in humans. Patients carrying certain HLA alleles may develop adverse drug reactions (ADRs) a...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S9 -
Detrimental effects of duplicate reads and low complexity regions on RNA- and ChIP-seq data
Adapter trimming and removal of duplicate reads are common practices in next-generation sequencing pipelines. Sequencing reads ambiguously mapped to repetitive and low complexity regions can also be problemati...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S10 -
Global multiple protein-protein interaction network alignment by combining pairwise network alignments
A wealth of protein interaction data has become available in recent years, creating an urgent need for powerful analysis techniques. In this context, the problem of finding biologically meaningful corresponden...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S11 -
Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides
Maize, a crop of global significance, is vulnerable to a variety of biotic stresses resulting in economic losses. Fusarium verticillioides (teleomorph Gibberella moniliformis) is one of the key fungal pathogens o...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S12 -
A Bayesian approach for inducing sparsity in generalized linear models with multi-category response
The dimension and complexity of high-throughput gene expression data create many challenges for downstream analysis. Several approaches exist to reduce the number of variables with respect to small sample size...
Citation: BMC Bioinformatics 2015 16(Suppl 13):S13
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