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ORCIDInternational Journal of Data Mining and Bioinformatics, Volume 16
Volume 16, Number 1, 2016
- Xiyuan Lu, Cuihong Dai, Aiju Hou, Jie Cui, Dayou Cheng, Liqiang Pan, Dechang Xu:
MicroRNA related anti-tumour pathways analysis in HeLa cell lines dysregulated by lupeol. 1-16 - Dingxin Song, Lishuang Li, Liuke Jin, Degen Huang:
Biomedical named entity recognition based on recurrent neural networks with different extended methods. 17-31 - Seunghyun Lee, Taesung Park, Mira Park:
Principal variable approach to multipurpose SNP selection in genetic association studies. 32-46 - Abdulrhman Aljouie, Nihir Patel, Bharati Jadhav, Usman Roshan:
Cross-validation and cross-study validation of chronic lymphocytic leukaemia with exome sequences and machine learning. 47-63 - Yongkang Kim, Min-Seok Kwon, Yonghwan Choi, Sung-Gon Yi, Junghyun Namkung, Sangjo Han, Wooil Kwon, Sun Whe Kim, Jin-Young Jang, Hyunsoo Kim, Youngsoo Kim, Seungyeoun Lee, Taesung Park:
Comparative studies for developing protein based cancer prediction model to maximise the ROC-AUC with various variable selection methods. 64-76 - Haewon Choi, Hye-Young Jung, Taesung Park:
Statistical analysis for aggregated count data in genetic association studies. 77-91
Volume 16, Number 2, 2016
- Sangbum Lee, Sejong Oh:
Development of a library with feature selection algorithm based on microarray gene expression dataset for biomarker identification. 93-110 - Heejong Sung, Jeremy A. Sabourin, Alexa J. M. Sorant, Alexander F. Wilson:
The effect of different sets of critical values on type I error rates in tiled regression for genome-wide association studies. 111-120 - Min Yao, Qinghua Wu, Juan Li, Ting-Hua Huang:
K-walks: clustering gene-expression data using a K-means clustering algorithm optimised by random walks. 121-140 - Fuad M. Alkoot, Abdullah K. Alqallaf:
Investigating machine learning techniques for the detection of autism. 141-169 - Marcin Czajkowski, Anna Czajkowska, Marek Kretowski:
TIGER: an evolutionary search for Top Inter-GEne Relations. 170-182
Volume 16, Number 3, 2016
- R. Devi Priya, R. Sivaraj:
Pre-processing of microarray gene expression data for classification using adaptive feature selection and imputation of non-ignorable missing values. 183-204 - J. Jeyabharathi, D. Shanthi
:
Enhanced sequence identification technique for protein sequence database mining with hybrid frequent pattern mining algorithm. 205-229 - Manidipa Roy, Soma Barman:
A novel approach to reduce computational load in least norm super resolution gene predictor. 230-251 - Juntao Li, Wenpeng Dong:
GeneRank-based partly adaptive group-penalised multinomial regression for microarray classification. 252-268
Volume 16, Number 4, 2016
- Balamurugan Rengeswaran, A. M. Natarajan, K. Premalatha:
A modified harmony search method for biclustering microarray gene expression data. 269-289 - Ilhan Ilhan, Gülay Tezel:
Tag SNP selection using clonal selection and majority voting algorithms. 290-311 - Zhongyang Zuo, Yanheng Liu, Liyan Zhao, Li Xu, Jian Wang, Xiaoyan Lv:
ECPF: an efficient algorithm for expanding clustered protein families. 312-327 - Xiwei Tang, Xuejun Yang, Yongfan Li, Wei Hu, Ming-Cai Zheng, Wei Peng, Minzhu Xie:
Identification of essential proteins via the network topology feature and subcellular localisation. 328-344 - Dan Wei, Yin Peng, Yanjie Wei, Qingshan Jiang, Jinglong Fang:
A hybrid method for splice site prediction based on Markov model and codon information. 345-362
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