Identification of microbial interaction network: zero-inflated latent Ising model based approach
Throughout their lifespans, humans continually interact with the microbial world, including those organisms which live in and on the human body. Research in this domain has revealed the extensive links between... (Source: BioData Mining)
Source: BioData Mining - October 7, 2020 Category: Bioinformatics Authors: Jie Zhou, Weston D. Viles, Boran Lu, Zhigang Li, Juliette C. Madan, Margaret R. Karagas, Jiang Gui and Anne G. Hoen Tags: Methodology Source Type: research

Therapeutic mechanism of Toujie Quwen granules in COVID-19 based on network pharmacology
Chinese medicine Toujie Quwen granule (TJQW) has proven to be effective in the treatment of mild coronavirus disease 2019 (COVID-19) cases by relieving symptoms, slowing the progression of the disease, and boo... (Source: BioData Mining)
Source: BioData Mining - September 24, 2020 Category: Bioinformatics Authors: Ying Huang, Wen-jiang Zheng, Yong-shi Ni, Mian-sha Li, Jian-kun Chen, Xiao-hong Liu, Xing-hua Tan and Ji-qiang Li Tags: Research Source Type: research

Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest
Various combinations of ultrasonographic (US) characteristics are increasingly utilized to classify thyroid nodules. But they lack theories, and heavily depend on radiologists ’ experience, and cannot correctly... (Source: BioData Mining)
Source: BioData Mining - September 3, 2020 Category: Bioinformatics Authors: Dan Chen, Jun Hu, Mei Zhu, Niansheng Tang, Yang Yang and Yuran Feng Tags: Research Source Type: research

Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator
Identification of non-trivial and meaningful patterns in omics data is one of the most important biological tasks. The patterns help to better understand biological systems and interpret experimental outcomes.... (Source: BioData Mining)
Source: BioData Mining - September 1, 2020 Category: Bioinformatics Authors: Franti šek Malinka, Filip železný and Jiří Kléma Tags: Research Source Type: research

Application of network pharmacology and molecular docking to elucidate the potential mechanism of Eucommia ulmoides-Radix Achyranthis Bidentatae against osteoarthritis
Osteoarthritis is a disabling disease, which seriously affects the quality of life of patients. Increasing evidence has indicated that Chinese herbal medicine including Eucommia ulmoides (EU) and Radix Achyranthi... (Source: BioData Mining)
Source: BioData Mining - August 28, 2020 Category: Bioinformatics Authors: Gong-hui Jian, Bing-zhu Su, Wen-jia Zhou and Hui Xiong Tags: Research Source Type: research

Network pharmacology reveals the multiple mechanisms of Xiaochaihu decoction in the treatment of non-alcoholic fatty liver disease
Non-alcoholic fatty liver (NAFLD) is a chronic disease worldwide, which poses a huge threat to human health. Xiaochaihu decoction is a well-known traditional Chinese medicine prescription. It has been proven e... (Source: BioData Mining)
Source: BioData Mining - August 27, 2020 Category: Bioinformatics Authors: Qichao Hu, Shizhang Wei, Jianxia Wen, Wenwen Zhang, Yinxiao Jiang, Caiyan Qu, Junbao Xiang, Yanling Zhao, Xi Peng and Xiao Ma Tags: Research Source Type: research

Deep learning-based ovarian cancer subtypes identification using multi-omics data
Identifying molecular subtypes of ovarian cancer is important. Compared to identify subtypes using single omics data, the multi-omics data analysis can utilize more information. Autoencoder has been widely use... (Source: BioData Mining)
Source: BioData Mining - August 24, 2020 Category: Bioinformatics Authors: Long-Yi Guo, Ai-Hua Wu, Yong-xia Wang, Li-ping Zhang, Hua Chai and Xue-Fang Liang Tags: Research Source Type: research

Conservation machine learning
(Source: BioData Mining)
Source: BioData Mining - August 5, 2020 Category: Bioinformatics Authors: Moshe Sipper and Jason H. Moore Tags: Editorial Source Type: research

Merging microarray studies to identify a common gene expression signature to several structural heart diseases
Heart disease is the leading cause of death worldwide. Knowing a gene expression signature in heart disease can lead to the development of more efficient diagnosis and treatments that may prevent premature dea... (Source: BioData Mining)
Source: BioData Mining - July 8, 2020 Category: Bioinformatics Authors: Olga Fajarda, Sara Duarte-Pereira, Raquel M. Silva and Jos é Luís Oliveira Tags: Research Source Type: research

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
Asthma is one of the leading chronic illnesses among children in the United States. Asthma prevalence is higher among African Americans (11.2%) compared to European Americans (7.7%). Bronchodilator medications... (Source: BioData Mining)
Source: BioData Mining - July 3, 2020 Category: Bioinformatics Authors: J. Maga ña, M. G. Contreras, K. L. Keys, O. Risse-Adams, P. C. Goddard, A. M. Zeiger, A. C. Y. Mak, J. R. Elhawary, L. A. Samedy-Bates, E. Lee, N. Thakur, D. Hu, C. Eng, S. Salazar, S. Huntsman, T. Hu & hellip; Tags: Research Source Type: research

Identification of therapeutic targets from genetic association studies using hierarchical component analysis
Mapping disease-associated genetic variants to complex disease pathophysiology is a major challenge in translating findings from genome-wide association studies into novel therapeutic opportunities. The diffic... (Source: BioData Mining)
Source: BioData Mining - June 17, 2020 Category: Bioinformatics Authors: Hao-Chih Lee, Osamu Ichikawa, Benjamin S. Glicksberg, Aparna A. Divaraniya, Christine E. Becker, Pankaj Agarwal and Joel T. Dudley Tags: Methodology Source Type: research

Revisiting the use of graph centrality models in biological pathway analysis
The use of graph theory models is widespread in biological pathway analyses as it is often desired to evaluate the position of genes and proteins in their interaction networks of the biological systems. In thi... (Source: BioData Mining)
Source: BioData Mining - June 16, 2020 Category: Bioinformatics Authors: Pourya Naderi Yeganeh, Chrsitine Richardson, Erik Saule, Ann Loraine and M. Taghi Mostafavi Tags: Research Source Type: research

The accelerated aging model reveals critical mechanisms of late-onset Parkinson ’s disease
Late-onset Parkinson ’s disease (LOPD) is a common neurodegenerative disorder and lacks disease-modifying treatments, attracting major attentions as the aggravating trend of aging population. There were numerou... (Source: BioData Mining)
Source: BioData Mining - June 10, 2020 Category: Bioinformatics Authors: Shiyan Li, Hongxin Liu, Shiyu Bian, Xianzheng Sha, Yixue Li and Yin Wang Tags: Research Source Type: research

Ideas for how informaticians can get involved with COVID-19 research
The coronavirus disease 2019 (COVID-19) pandemic has had a significant impact on population health and wellbeing. Biomedical informatics is central to COVID-19 research efforts and for the delivery of healthca... (Source: BioData Mining)
Source: BioData Mining - May 12, 2020 Category: Bioinformatics Authors: 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 Urbanowic Tags: Editorial Source Type: research

A network pharmacology-based study on Alzheimer disease prevention and treatment of Qiong Yu Gao
As the pathological mechanisms of AD are complex, increasing evidence have demonstrated Chinese Medicine with multi-ingredients and multi-targets may be more suitable for the treatment of diseases with complex... (Source: BioData Mining)
Source: BioData Mining - April 25, 2020 Category: Bioinformatics Authors: 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 and Wei-ling Qu Tags: Research Source Type: research