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ORCIDInternational Journal of Data Mining and Bioinformatics, Volume 9
Volume 9, Number 1, 2014
- Kazi Zakia Sultana, Anupam Bhattacharjee, Hasan Jamil
:
Querying KEGG pathways in logic. 1-21 - Xiaohui Yuan, Dongyu Ang:
A novel figure panel classification and extraction method for document image understanding. 22-36 - Chien-Ming Chen, Tun-Wen Pai, Chia-Sheng Chuang, Jhen-Li Huang, Wen-Shyong Tzou, Chin-Hua Hu:
Identifying significant associations of orthologous simple sequence repeats with gene ontologies. 37-51 - Yu-Cheng Liu, Lien-Chin Chen, Chi-Wei Liu, Vincent S. Tseng:
Effective peak alignment for mass spectrometry data analysis using two-phase clustering approach. 52-66 - Bin Han, Haifeng Lai, Ruifei Xie, Lihua Li, Lei Zhu:
Identification of glioma cancer-alerted gene markers based on a diagnostic outcome correlation analysis preferential approach. 67-88 - Mahshid Khatibi Bardsiri, Mahdi Eftekhari:
Comparing ensemble learning methods based on decision tree classifiers for protein fold recognition. 89-105 - Joon Jin Song, Jingying Zhang:
Enhanced classification for high-throughput data with an optimal projection and hybrid classifier. 106-120
Volume 9, Number 2, 2014
- Haiying Wang, Francisco Azuaje, Huiru Zheng:
An information theoretic approach to assessing gene-ontology-driven similarity and its application. 121-134 - Tianxiao Huan, Xiaogang Wu, Zengliang Bai, Jake Y. Chen:
Seed-weighted random walk ranking for cancer biomarker prioritisation: a case study in leukaemia. 135-148 - Chi-Cheng Huang, Shih-Hsin Tu, Heng-Hui Lien, Jaan-Yeh Jeng, Jung-Sen Liu, Ching-Shui Huang, Liang-Chuan Lai, Eric Y. Chuang:
Estrogen receptor status prediction by gene component regression: a comparative study. 149-171 - Wei Zhong, Jieyue He, Xiujuan Chen, Yi Pan:
Multi-level clustering support vector machine trees for improved protein local structure prediction. 172-198 - Andrew K. Rider, Geoffrey Siwo, Scott J. Emrich, Michael T. Ferdig, Nitesh V. Chawla:
A supervised learning approach to the ensemble clustering of genes. 199-219
Volume 9, Number 3, 2014
- Vladimir Nikulin:
On a solution for the high-dimensionality-small-sample-size regression problem with several different microarrays. 221-234 - Le Zhang, Yao Xue, Beini Jiang, Costas G. Strouthos, Zhenfeng Duan, Yukun Wu, Jing Su, Xiaobo Zhou:
Multiscale agent-based modelling of ovarian cancer progression under the stimulation of the STAT 3 pathway. 235-253 - Sangkyun Hong, Jeehee Yoon, Dongwan Hong, Unjoo Lee, Baeksop Kim, Sanghyun Park:
Shape-based retrieval of CNV regions in read coverage data. 254-276 - Hang-Phuong Pham, Nicolas Dérian, Wahiba Chaara, Bertrand Bellier, David Klatzmann, Adrien Six:
A novel strategy for molecular signature discovery based on independent component analysis. 277-304 - Chun-Yuan Lin, Hsiao-Chieh Chi, Kuei-Chung Shih, Jiayi Zhou, Naiwan Hsiao, Chuan Yi Tang:
Development of 3D-QSAR combination approach for discovering and analysing neuraminidase inhibitors in silico. 305-320 - Jing-Doo Wang, Yi-Chun Wang:
Mining for representative regions of virus genuses via protein sequences clustering. 321-337
Volume 9, Number 4, 2014
- Richard J. B. Dobson, Patricia B. Munroe, Mark J. Caulfield, Mansoor A. S. Saqi:
Protein interaction networks associated with cardiovascular disease and cancer: exploring the effect of bias on shared network properties. 339-357 - Bing Ni, Man Hon Wong, Chi Fai David Lam, Kwong-Sak Leung:
Applying Agrep to r-NSA to solve multiple sequences approximate matching. 358-385 - Ananda Mondal, Jianjun Hu:
Network based prediction of protein localisation using diffusion Kernel. 386-400 - Yi-Tsung Tang, Hung-Yu Kao, Shaw-Jenq Tsai, Hei-Chia Wang:
A semi-supervised, weighted pattern-learning approach for extraction of gene regulation relationships from scientific literature. 401-416 - Rory Julien Michelland, Sylvie Combes, Laurent Cauquil:
OligoSpecificitySystem: global matching efficiency calculation of oligonucleotide sets taking into account degeneracy and mismatch possibilities. 417-423 - Wei Du, Zhongbo Cao, Yan Wang, Enrico Blanzieri, Chen Zhang, Yanchun Liang:
Operon prediction by Markov clustering. 424-443 - Fan Yang, Lin Wang:
Mechanisms classification for glycoside hydrolases by sequence and structure features using computational methods. 444-457
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