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SAR and QSAR in Environmental Research Volume 30, 2019 - Issue 3
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Prediction of apoptosis protein subcellular localization via heterogeneous features and hierarchical extreme learning machine

S. ZhangSchool of Mathematics and Statistics, Xidian University, Xi’an, PR ChinaCorrespondence[email protected]
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T. ZhangSchool of Mathematics and Statistics, Xidian University, Xi’an, PR ChinaView further author information
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C. LiuSchool of Electronic Engineering, Xidian University, Xi’an, PR ChinaView further author information
Pages 209-228 | Received 12 Dec 2018, Accepted 27 Jan 2019, Published online: 26 Feb 2019

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V.K. Vyas, G. Qureshi, H. Dayani, A. Jha & M. Ghate. (2020) Pharmacophore-based identification and in vitro validation of apoptosis inducers as anticancer agents. SAR and QSAR in Environmental Research 31:11, pages 869-881.
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Junlang Wang, Huoyao Xu, Xiangyu Peng, Jie Liu & Chaoming He. (2023) Pathological voice classification based on multi-domain features and deep hierarchical extreme learning machine. The Journal of the Acoustical Society of America 153:1, pages 423-435.
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Haoyu Wang, Chiew Foong Kwong, Qianyu Liu, Zhixin Liu & Zhiyuan Chen. (2022) A Novel Artificial Intelligence System in Formulation Dissolution Prediction. Computational Intelligence and Neuroscience 2022, pages 1-11.
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Ting Liu, Jiamao Chen, Qian Zhang, Kyle Hippe, Cassandra Hunt, Thu Le, Renzhi Cao & Hua Tang. (2022) The Development of Machine Learning Methods in Discriminating Secretory Proteins of Malaria Parasite. Current Medicinal Chemistry 29:5, pages 807-821.
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Xianfang Wang, Yifeng Liu, Zhiyong Du, Mingdong Zhu, Aman Chandra Kaushik, Xue Jiang & Dongqing Wei. (2021) Prediction of Protein Solubility Based on Sequence Feature Fusion and DDcCNN. Interdisciplinary Sciences: Computational Life Sciences 13:4, pages 703-716.
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Yasunari Matsuzaka, Shin Totoki, Kentaro Handa, Tetsuyoshi Shiota, Kota Kurosaki & Yoshihiro Uesawa. (2021) Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure–Activity Relationship System. International Journal of Molecular Sciences 22:19, pages 10821.
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Bingjun Chen & Xianwen Gao. (2021) Soft sensor hybrid model of dynamic liquid level for sucker rod pump oil wells. Transactions of the Institute of Measurement and Control 43:9, pages 1843-1857.
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Qi Zhang, Yandan Zhang, Shan Li, Yu Han, Shuping Jin, Haiming Gu & Bin Yu. (2021) Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier. Briefings in Bioinformatics.
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Lei Du, Qingfang Meng, Yuehui Chen & Peng Wu. (2020) Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA. BMC Bioinformatics 21:1.
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Yang Hong, Bo Hou, Hengle Jiang & Jingchao Zhang. (2019) Machine learning and artificial neural network accelerated computational discoveries in materials science. WIREs Computational Molecular Science 10:3.
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Changdong Wu. (2020) Classification of catenary equipment based on a coupled genetic algorithm-extreme learning machine method. Insight - Non-Destructive Testing and Condition Monitoring 62:1, pages 15-21.
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Muhammad Tahir, Fazlullah Khan, Mohammad Khalid Imam Rahmani & Vinh Truong Hoang. (2020) Discrimination of Golgi Proteins Through Efficient Exploitation of Hybrid Feature Spaces Coupled With SMOTE and Ensemble of Support Vector Machine. IEEE Access 8, pages 206028-206038.
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Yu-hua Yao, Ya-ping Lv, Ling Li, Hui-min Xu, Bin-bin Ji, Jing Chen, Chun Li, Bo Liao & Xu-ying Nan. (2019) Protein sequence information extraction and subcellular localization prediction with gapped k-Mer method. BMC Bioinformatics 20:S22.
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Zhibin Lv, Shunshan Jin, Hui Ding & Quan Zou. (2019) A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features. Frontiers in Bioengineering and Biotechnology 7.
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Yang Yang, Huiwen Zheng, Chunhua Wang, Wanyue Xiao & Taigang Liu. (2019) Predicting Apoptosis Protein Subcellular Locations based on the Protein Overlapping Property Matrix and Tri-Gram Encoding. International Journal of Molecular Sciences 20:9, pages 2344.
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