A5103093694- Machine Learning in Bioinformatics
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Genetics, Bioinformatics, and Biomedical Research
- Influenza Virus Research Studies
- Gene expression and cancer classification
- RNA and protein synthesis mechanisms
- Salivary Gland Tumors Diagnosis and Treatment
- Identification and Quantification in Food
- vaccines and immunoinformatics approaches
- Metabolomics and Mass Spectrometry Studies
- Fractal and DNA sequence analysis
- Lung Cancer Diagnosis and Treatment
- Data-Driven Disease Surveillance
- Advanced Chemical Sensor Technologies
- Autoimmune Neurological Disorders and Treatments
- Biochemical Acid Research Studies
- Salivary Gland Disorders and Functions
- Geotechnical Engineering and Soil Mechanics
- Vector-Borne Animal Diseases
- Food Safety and Hygiene
- Listeria monocytogenes in Food Safety
- Sports Analytics and Performance
Shanghai University
2015-2025
The Gordon Life Science Institute
2017-2019
China Postdoctoral Science Foundation
2017
Creative Commons
2017
Jinan Military General Hospital
2017
University of California, San Diego
2012
Xiangya Hospital Central South University
2012
Central South University
2012
The rapid advances of high-throughput sequencing technologies dramatically prompted metagenomic studies microbial communities that exist at various environments. Fundamental questions in metagenomics include the identities, composition and dynamics populations their functions interactions. However, massive quantity comprehensive complexity these sequence data pose tremendous challenges analysis. These but are not limited to ever-increasing computational demand, biased sampling, errors,...
// Qiang Su 1 , Wencong Lu 2 Dongshu Du 1, 3 Fuxue Chen Bing Niu 4 and Kuo-Chen Chou 4, 5, 6 College of Life Science, Shanghai University, 200444, China Department Chemistry, Sciences, Heze Shandong 274500, Gordon Science Institute, Boston, MA 02478, USA 5 Center for Informational Biology, University Electronic Technology China, Chengdu 610054, Excellence in Genomic Medicine Research, King Abdulaziz Jeddah 21589, Saudi Arabia Correspondence to: Niu, email: bniu@gordonlifescience.org...
The structural class is an important feature in characterizing the overall topological folding type of a protein or domains therein. Prediction classification has attracted attention and efforts from many investigators. In this paper novel predictor, AdaBoost Learner, was introduced to deal with problem. essence Learner that combination 'weak' learning algorithms, each performing just slightly better than random guessing algorithm, will generate 'strong' algorithm. Demonstration thru...
The occurrence of epidemic avian influenza (EAI) not only hinders the development a country's agricultural economy, but also seriously affects human beings’ life. Recently, information collected from Google Trends has been increasingly used to predict various epidemics. In this study, using relevant keywords in as well multiple linear regression approach, model was developed influenza. It demonstrated by rigorous cross-validations that success rates achieved new were quite high,...
Observing what phenotype the overexpression or knockdown of gene can cause is basic method investigating functions. Many advanced biotechnologies, such as RNAi, were developed to study phenotype. But there are still many limitations. Besides time and cost, some may be lethal which makes observation other phenotypes impossible. Due ethical technological reasons, genes in complex species, mammal, extremely difficult. Thus, we proposed a new sequence-based computational called k NNA-based for...
Glioma is the most lethal nervous system cancer. Recent studies have made great efforts to study occurrence and development of glioma, but molecular mechanisms are still unclear. This was designed reveal glioma based on protein-protein interaction network combined with machine learning methods. Key differentially expressed genes (DEGs) were screened selected by using (PPI) networks.As a result, 19 between grade I II, 21 II III, 20 III IV. Then, five methods employed predict gliomas stages...
The goal of this study was to determine outcomes related limb salvage vs. amputation for treating high-grade and localized osteosarcoma in patients with pathological fractures. Literature search conducted using Medline, Embase the Cochrane Database. Two reviewers independently assessed all eligible publications. primary outcome measurement pooled odds ratio (OR) 95% confidence interval (CI) risk local recurrence, 5-year overall survival rate metastatic occurrence calculated through...
Protein subcellular localization, which tells where a protein resides in cell, is an important characteristic of protein, and relates closely to the function proteins. The prediction their localization plays role function, genome annotation drug design. Therefore, it challenging predict using bio-informatics approach. In this paper, robust predictor, AdaBoost Learner introduced based on its amino acid composition. Jackknife crossvalidation independent dataset test were used demonstrate that...
Since the first two novel coronavirus cases appeared in January of 2020, outbreak COVID-19 epidemic seriously threatens public health Italy. In this article, distribution characteristics and spreading various regions Italy were analysed by heat maps. Meanwhile, spatial autocorrelation, spatiotemporal clustering analysis kernel density method also applied to analyse COVID-19. The results showed that Italian has a temporal trend aggregation. was concentrated northern gradually spread other...
It is important to identify which proteins can interact with RNA for the purpose of protein annotation, since interactions between and influence structure ribosome play roles in gene expression. This paper tries that using voting systems. Firstly through Weka, 34 learning algorithms are chosen investigation. Then simple majority system (SMVS) used prediction RNA-binding proteins, achieving average ACC (overall accuracy) value 79.72% MCC (Matthew's correlation coefficient) 59.77% independent...
Avian influenza is a serious zoonotic infectious disease with huge negative impacts on local poultry farming, human health and social stability. Therefore, the design of new compounds against avian has been focus in this field. In study, computational methods were applied to investigate neuraminidase inhibitory activity. First, 2D-SAR model was built recognize inhibitors (NAIs). As result, accuracy 10 cross-validation independent tests 96.84% 98.97%, respectively. Then, Topomer CoMFA...
Calcium-activated chloride channels (CaCCs) are that regulated according to intracellular calcium ion concentrations. The channel protein ANO1 is widely present in cells and involved physiological activities including cellular secretion, signaling, cell proliferation vasoconstriction diastole. In this study, the inhibitors were investigated with machine learning molecular simulation. Two-dimensional structure-activity relationship (2D-SAR) three-dimensional quantitative (3D-QSAR) models...
Abstract Knowledge of the polyprotein cleavage sites by HIV protease will refine our understanding its specificity, and information thus acquired is useful for designing specific efficient inhibitors. Recently, several works have approached HIV‐1 specificity problem applying a number classifier creation combination methods. The pace in searching proper inhibitors be greatly expedited if one can find an accurate, robust, rapid method predicting proteins protease. In this article, we selected...