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ORCIDBioData Mining, Volume 13
Volume 13, Number 1, December 2020
- Tao Liu, Kaiwen Shi
, Wuju Li:
Deep learning methods improve linear B-cell epitope prediction. 1 - Jie-shu You, Chen-yue Li, Wei Chen, Xia-lin Wu, Li-jie Huang, Ren-kai Li, Fei Gao, Ming-yue Zhang, Huan-lan Liu, Wei-ling Qu:
A network pharmacology-based study on Alzheimer disease prevention and treatment of Qiong Yu Gao. 2 - Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes:
Ideas for how informaticians can get involved with COVID-19 research. 3 - Shiyan Li, Hongxin Liu, Shiyu Bian, Xianzheng Sha, Yixue Li, Yin Wang:
The accelerated aging model reveals critical mechanisms of late-onset Parkinson's disease. 4 - Pourya Naderi Yeganeh, Chrsitine Richardson, Erik Saule, Ann Loraine, M. Taghi Mostafavi:
Revisiting the use of graph centrality models in biological pathway analysis. 5 - Hao-Chih Lee, Osamu Ichikawa, Benjamin S. Glicksberg, Aparna A. Divaraniya, Christine E. Becker, Pankaj Agarwal, Joel T. Dudley:
Identification of therapeutic targets from genetic association studies using hierarchical component analysis. 6 - J. Magaña, M. G. Contreras, Kevin L. Keys, O. Risse-Adams, P. C. Goddard, A. M. Zeiger, Angel C. Y. Mak, J. R. Elhawary, L. A. Samedy-Bates, E. Lee, N. Thakur, Donglei Hu, Celeste Eng, S. Salazar, Scott Huntsman, T. Hu, Esteban Gonzàlez Burchard, M. J. White:
An epistatic interaction between pre-natal smoke exposure and socioeconomic status has a significant impact on bronchodilator drug response in African American youth with asthma. 7 - Olga Fajarda, Sara Duarte-Pereira, Raquel M. Silva, José Luís Oliveira:
Merging microarray studies to identify a common gene expression signature to several structural heart diseases. 8 - Moshe Sipper, Jason H. Moore:
Conservation machine learning. 9 - Long-Yi Guo, Aihua Wu, Yong-xia Wang, Li-Ping Zhang, Hua Chai, Xue-Fang Liang:
Deep learning-based ovarian cancer subtypes identification using multi-omics data. 10 - Qichao Hu, Shizhang Wei, Jianxia Wen, Wenwen Zhang, Yinxiao Jiang, Caiyan Qu, Junbao Xiang, Yanling Zhao, Xi Peng, Xiao Ma:
Network pharmacology reveals the multiple mechanisms of Xiaochaihu decoction in the treatment of non-alcoholic fatty liver disease. 11 - Gong-hui Jian, Bing-zhu Su, Wen-jia Zhou, Hui Xiong:
Application of network pharmacology and molecular docking to elucidate the potential mechanism of Eucommia ulmoides-Radix Achyranthis Bidentatae against osteoarthritis. 12 - Frantisek Malinka, Filip Zelezný, Jirí Kléma:
Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator. 13 - Dan Chen, Jun Hu, Mei Zhu, Niansheng Tang, Yang Yang, Yuran Feng:
Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest. 14 - Ying Huang, Wen-jiang Zheng, Yong-shi Ni, Mian-sha Li, Jian-kun Chen, Xiaohong Liu, Xinghua Tan, Ji-Qiang Li:
Therapeutic mechanism of Toujie Quwen granules in COVID-19 based on network pharmacology. 15 - Jie Zhou, Weston D. Viles, Boran Lu, Zhigang Li, Juliette C. Madan, Margaret R. Karagas, Jiang Gui, Anne Gatewood Hoen:
Identification of microbial interaction network: zero-inflated latent Ising model based approach. 16 - Wen-jiang Zheng, Qian Yan, Yong-shi Ni, Shao-feng Zhan, Liu-liu Yang, Hong-Fa Zhuang, Xiaohong Liu, Yong Jiang:
Examining the effector mechanisms of Xuebijing injection on COVID-19 based on network pharmacology. 17 - Jason H. Moore:
Ten important roles for academic leaders in data science. 18 - Kai Gao, Yan-Ping Song, Anna Song:
Exploring active ingredients and function mechanisms of Ephedra-bitter almond for prevention and treatment of Corona virus disease 2019 (COVID-19) based on network pharmacology. 19 - Wajid Arshad Abbasi, Adiba Yaseen, Fahad Ul Hassan, Saiqa Andleeb, Fayyaz ul Amir Afsar Minhas:
ISLAND: in-silico proteins binding affinity prediction using sequence information. 20 - Phyllis M. Thangaraj, Benjamin Kummer, Tal Lorberbaum, Mitchell S. V. Elkind, Nicholas P. Tatonetti:
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods. 21
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