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Publication search results
found 19 matches
- 2017
- 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. Int. J. Data Min. Bioinform. 19(1): 32-51 (2017) - Jiao Chen, Tianhong Pan, Shan Chen, Xiaobo Zou, Kaili Xu:
Pattern recognition of chemical compounds using multiple dose-response curves. Int. J. Data Min. Bioinform. 19(2): 97-116 (2017) - 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. Int. J. Data Min. Bioinform. 19(4): 340-365 (2017) - Mingon Kang, Dong-Chul Kim, Chunyu Liu, Jean Gao:
Identifying cis/trans-acting expression quantitative trait loci (eQTL). Int. J. Data Min. Bioinform. 19(1): 1-18 (2017) - 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. Int. J. Data Min. Bioinform. 19(3): 202-220 (2017) - Mukesh Kumar, Ransingh B. Ray, Santanu Kumar Rath:
Spark based classification of microarray data using scalable artificial neural network. Int. J. Data Min. Bioinform. 19(4): 312-339 (2017) - Chanyoung Lee, Seungyeoun Lee, Taesung Park:
Statistical methods for metagenomics data analysis. Int. J. Data Min. Bioinform. 19(4): 366-385 (2017) - Ki Yong Lee, Young-Kyoon Suh, Kumwon Cho:
Development of a simulation result management and prediction system using machine learning techniques. Int. J. Data Min. Bioinform. 19(1): 75-96 (2017) - Ankush Maind, Shital A. Raut:
Computational analysis of biclustering algorithms for identification of co-expressed genes. Int. J. Data Min. Bioinform. 19(3): 243-269 (2017) - Chandan Pandey, Rokkam Sandeep, Aikansh Priyam, Satyajit Mahapatra, Sitanshu Sekhar Sahu:
Predicting protein-RNA interaction using sequence derived features and machine learning approach. Int. J. Data Min. Bioinform. 19(3): 270-282 (2017) - Hyunjin Park, Seungyeoun Lee, Ye Jin Kim, Myung-Sook Choi, Taesung Park:
Analysis of clustered RNA-seq data. Int. J. Data Min. Bioinform. 19(1): 19-31 (2017) - Soumen Kumar Pati, Asit Kumar Das:
Ensemble classifier design selecting important genes based on extracted features. Int. J. Data Min. Bioinform. 19(2): 117-149 (2017) - Amirreza Rouhi, Hossein Nezamabadi-pour:
A hybrid-ensemble based framework for microarray data gene selection. Int. J. Data Min. Bioinform. 19(3): 221-242 (2017) - Nima Shayanfar, Vali Derhami, Mehdi Rezaeian:
Deep recurrent neural networks in HIV-1 protease cleavage classification. Int. J. Data Min. Bioinform. 19(4): 298-311 (2017) - Peng Gang Sun, Juan Chi:
Understanding protein-protein interaction networks from conserved patterns to conserved controllability. Int. J. Data Min. Bioinform. 19(2): 168-184 (2017) - Jaya Thomas, Lee Sael:
Multi-kernel LS-SVM based integration bio-clinical data analysis and application to ovarian cancer. Int. J. Data Min. Bioinform. 19(2): 150-167 (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. Int. J. Data Min. Bioinform. 19(3): 185-201 (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. Int. J. Data Min. Bioinform. 19(4): 283-297 (2017) - Yifei Yue, Chaokun Wang, Xiang Ying, Jun Qian:
CoDeT: an easy-to-use community detection tool. Int. J. Data Min. Bioinform. 19(1): 52-74 (2017)
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