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ORCIDInternational Journal of Data Mining and Bioinformatics, Volume 23
Volume 23, Number 1, 2020
- Mukerrem Bahar Baskir
, Fahriye Zemheri-Navruz:
An integrated approach for DNA-damage detection from comet-images of Drosophila melanogaster. 1-11 - Defu Liu, Guowu Yang, Yuchen Li, Jinzhao Wu, Fengmao Lv:
Gradient boosting tree for 1H-MRS Alzheimer diagnosis. 12-29 - Jun Lee, Jee-In Kim, HyungSeok Kim:
Evaluation of pseudo-haptic interfaces for perceiving virtual weights. 30-46 - Kiranpreet Kaur, Nagamma Patil:
A fast and novel approach based on grouping and weighted mRMR for feature selection and classification of protein sequence data. 47-61 - Abdulrauf Garba Sharifai, Zurinahni Zainol:
The correlation-based redundancy multiple-filter approach for gene selection. 62-78 - Madhuri Gupta, Bharat Gupta:
A new scalable approach for missing value imputation in high-throughput microarray data on apache spark. 79-100
Volume 23, Number 2, 2020
- Celal Öztürk, Mustafa Tarim, Sibel Arslan:
Feature selection and classification of metabolomics data using artificial bee colony programming (ABCP). 101-118 - Haowu Chang, Hao Zhang, Qing-Ming Qin, Tianyue Zhang, Teng Zhang, Yuanning Liu, Haiming Liu, Xiaodan Zhong, Shizeng Song, Cong Li, Bowen Shen:
Identification of novel Phytophthora infestans small RNAs involved in potato late blight reveals potential cross-kingdom regulation to facilitate oomycete infection. 119-141 - Charu Kathuria, Deepti Mehrotra, Navnit Kumar Misra:
Determining protein conformation using vibrational frequencies: an ensemble approach. 142-159 - Wei Zhong, Xuemei Guo, Guoli Wang:
Maternal ECG removal using short time Fourier transform and convolutional auto-encoder. 160-175 - SeongRyeol Moon, Junbae Oh, Seungyoon Nam:
Linear programming-based prediction of immune cell composition. 176-187
Volume 23, Number 3, 2020
- Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He:
An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning. 189-212 - Thomas Brox Røst, Christine Raaen Tvedt, Haldor Husby, Ingrid Andås Berg, Øystein Nytrø:
Identifying catheter-related events through sentence classification. 213-233 - Wenyang Guo, Yongping Du, Yiliang Zhao, Keyan Ren:
Multi-task transfer learning for biomedical machine reading comprehension. 234-250 - Bolin Chen, Manting Yang, Li Gao, Tao Jiang, Xuequn Shang:
A functional network construction method to interpret the pathological process of colorectal cancer. 251-264 - Xin Yan, Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng:
GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network. 265-283
Volume 23, Number 4, 2020
- Timothy James Becker, Dong-Guk Shin:
Efficient methods for hierarchical multi-omic feature extraction and visualisation. 285-298 - Ik-Soo Huh, Sunghoon Choi, Youjin Kim, Soo-yeon Park, Oran Kwon, Taesung Park:
Two-stage clustering analysis to detect pattern change of biomarker expression between experimental conditions. 299-317 - Wei Peng, Jielin Du, Lun Li, Wei Dai, Wei Lan:
Predicting protein functions by using non-negative matrix factorisation with multi-networks co-regularisation. 318-342 - Junmin Zhao, Jingpu Zhang, Yuanyuan Ma, Bin Yang:
A novel protein complex identifying method based on key protein (PCIM). 343-359 - Haorui Wang, Xiaochan Wang, Zhouxin Yu, Wen Zhang:
Graph embedding and ensemble learning for predicting gene-disease associations. 360-379
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