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ORCIDInternational Journal of Data Mining and Bioinformatics, Volume 19
Volume 19, Number 1, 2017
- Mingon Kang, Dong-Chul Kim, Chunyu Liu, Jean Gao:
Identifying cis/trans-acting expression quantitative trait loci (eQTL). 1-18 - Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park:
Analysis of clustered RNA-seq data. 19-31 - Osama Ahmad Alomari, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Laith Mohammad Abualigah:
Gene selection for cancer classification by combining minimum redundancy maximum relevancy and bat-inspired algorithm. 32-51 - Yifei Yue, Chaokun Wang, Xiang Ying, Jun Qian:
CoDeT: an easy-to-use community detection tool. 52-74 - Ki Yong Lee, Young-Kyoon Suh, Kumwon Cho:
Development of a simulation result management and prediction system using machine learning techniques. 75-96
Volume 19, Number 2, 2017
- Jiao Chen, Tianhong Pan, Shan Chen, Xiaobo Zou, Kaili Xu:
Pattern recognition of chemical compounds using multiple dose-response curves. 97-116 - Soumen Kumar Pati, Asit Kumar Das:
Ensemble classifier design selecting important genes based on extracted features. 117-149 - Jaya Thomas, Lee Sael:
Multi-kernel LS-SVM based integration bio-clinical data analysis and application to ovarian cancer. 150-167 - Peng Gang Sun, Juan Chi:
Understanding protein-protein interaction networks from conserved patterns to conserved controllability. 168-184
Volume 19, Number 3, 2017
- Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiang-Zhen Kong, Shasha Yuan:
A novel low-rank representation method for identifying differentially expressed genes. 185-201 - Han-Gyu Kim, Gil-Jin Jang, Ho-Jin Choi, Myungeun Lim, Jaehun Choi:
Medical examination data prediction with missing information imputation based on recurrent neural networks. 202-220 - Amirreza Rouhi, Hossein Nezamabadi-pour:
A hybrid-ensemble based framework for microarray data gene selection. 221-242 - Ankush Maind, Shital A. Raut:
Computational analysis of biclustering algorithms for identification of co-expressed genes. 243-269 - Chandan Pandey, Rokkam Sandeep, Aikansh Priyam, Satyajit Mahapatra, Sitanshu Sekhar Sahu:
Predicting protein-RNA interaction using sequence derived features and machine learning approach. 270-282
Volume 19, Number 4, 2017
- Haobin Yao, Tak Wah Lam, H. F. Ting, Siu-Ming Yiu, Yadong Wang, Bo Liu:
Accurate annotation of metagenomic data without species-level references. 283-297 - Nima Shayanfar, Vali Derhami, Mehdi Rezaeian:
Deep recurrent neural networks in HIV-1 protease cleavage classification. 298-311 - Mukesh Kumar, Ransingh B. Ray, Santanu Kumar Rath:
Spark based classification of microarray data using scalable artificial neural network. 312-339 - Hyeonseong Jeon, Suh-Ryung Kim, Dougu Nam, Yun Joo Yoo:
Analysis of triangular motifs in protein interaction networks and their implications to protein ages and cancer genes. 340-365 - Chanyoung Lee, Seungyeoun Lee, Taesung Park:
Statistical methods for metagenomics data analysis. 366-385
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