Volume 15 Supplement 15

Proceedings of the 2013 International Conference on Intelligent Computing (ICIC 2013)

Proceedings

Edited by De-Shuang Huang

Publication of this supplement has not been supported by sponsorship. 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 Editor declares that he has no competing interests.

2013 International Conference on Intelligent Computing (ICIC 2013). Go to conference site.

Nanning, China28-31 July 2013

Content type: Proceedings

Protein structure prediction with local adjust tabu search algorithm

Protein folding structure prediction is one of the most challenging problems in the bioinformatics domain. Because of the complexity of the realistic protein structure, the simplified structure model and the c...

Authors: Xiaoli Lin, Xiaolong Zhang and Fengli zhou

Citation: BMC Bioinformatics 2014 15(Suppl 15):S1

Published on: 3 December 2014
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Content type: Proceedings

Molecular cancer classification using a meta-sample-based regularized robust coding method

Previous studies have demonstrated that machine learning based molecular cancer classification using gene expression profiling (GEP) data is promising for the clinic diagnosis and treatment of cancer. Novel cl...

Authors: Shu-Lin Wang, Liuchao Sun and Jianwen Fang

Citation: BMC Bioinformatics 2014 15(Suppl 15):S2

Published on: 3 December 2014
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Content type: Proceedings

Gene differential coexpression analysis based on biweight correlation and maximum clique

Differential coexpression analysis usually requires the definition of 'distance' or 'similarity' between measured datasets. Until now, the most common choice is Pearson correlation coefficient. However, Pearso...

Authors: Chun-Hou Zheng, Lin Yuan, Wen Sha and Zhan-Li Sun

Citation: BMC Bioinformatics 2014 15(Suppl 15):S3

Published on: 3 December 2014
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Content type: Proceedings

LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone

Protein-ligand binding is important for some proteins to perform their functions. Protein-ligand binding sites are the residues of proteins that physically bind to ligands. Despite of the recent advances in co...

Authors: Peng Chen, Jianhua Z Huang and Xin Gao

Citation: BMC Bioinformatics 2014 15(Suppl 15):S4

Published on: 3 December 2014
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Content type: Proceedings

DBBP: database of binding pairs in protein-nucleic acid interactions

Interaction of proteins with other molecules plays an important role in many biological activities. As many structures of protein-DNA complexes and protein-RNA complexes have been determined in the past years,...

Authors: Byungkyu Park, Hyungchan Kim and Kyungsook Han

Citation: BMC Bioinformatics 2014 15(Suppl 15):S5

Published on: 3 December 2014
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Content type: Proceedings

Adjusting protein graphs based on graph entropy

Measuring protein structural similarity attempts to establish a relationship of equivalence between polymer structures based on their conformations. In several recent studies, researchers have explored protein...

Authors: Sheng-Lung Peng and Yu-Wei Tsay

Citation: BMC Bioinformatics 2014 15(Suppl 15):S6

Published on: 3 December 2014
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Content type: Proceedings

EasyCluster2: an improved tool for clustering and assembling long transcriptome reads

Expressed sequences (e.g. ESTs) are a strong source of evidence to improve gene structures and predict reliable alternative splicing events. When a genome assembly is available, ESTs are suitable to generate g...

Authors: Vitoantonio Bevilacqua, Nicola Pietroleonardo, Ely Ignazio Giannino, Fabio Stroppa, Domenico Simone, Graziano Pesole and Ernesto Picardi

Citation: BMC Bioinformatics 2014 15(Suppl 15):S7

Published on: 3 December 2014
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Content type: Proceedings

Reverse engineering gene regulatory networks: Coupling an optimization algorithm with a parameter identification technique

To infer gene regulatory networks from time series gene profiles, two important tasks that are related to biological systems must be undertaken. One task is to determine a valid network structure that has topo...

Authors: Yu-Ting Hsiao and Wei-Po Lee

Citation: BMC Bioinformatics 2014 15(Suppl 15):S8

Published on: 3 December 2014
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Content type: Proceedings

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

Identifying protein-protein interactions (PPIs) is essential for elucidating protein functions and understanding the molecular mechanisms inside the cell. However, the experimental methods for detecting PPIs a...

Authors: Zhu-Hong You, Lin Zhu, Chun-Hou Zheng, Hong-Jie Yu, Su-Ping Deng and Zhen Ji

Citation: BMC Bioinformatics 2014 15(Suppl 15):S9

Published on: 3 December 2014
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Content type: Proceedings

Compression of next-generation sequencing quality scores using memetic algorithm

The exponential growth of next-generation sequencing (NGS) derived DNA data poses great challenges to data storage and transmission. Although many compression algorithms have been proposed for DNA reads in NGS...

Authors: Jiarui Zhou, Zhen Ji, Zexuan Zhu and Shan He

Citation: BMC Bioinformatics 2014 15(Suppl 15):S10

Published on: 3 December 2014
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Proceedings of the 2013 International Conference on Intelligent Computing (ICIC 2013)

Proceedings

Protein structure prediction with local adjust tabu search algorithm

Molecular cancer classification using a meta-sample-based regularized robust coding method

Gene differential coexpression analysis based on biweight correlation and maximum clique

LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone

DBBP: database of binding pairs in protein-nucleic acid interactions

Adjusting protein graphs based on graph entropy

EasyCluster2: an improved tool for clustering and assembling long transcriptome reads

Reverse engineering gene regulatory networks: Coupling an optimization algorithm with a parameter identification technique

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

Compression of next-generation sequencing quality scores using memetic algorithm

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