A5037050182- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- Knowledge Management and Sharing
- Forest Management and Policy
- Healthcare Technology and Patient Monitoring
- Nosocomial Infections in ICU
- Complex Network Analysis Techniques
- scientometrics and bibliometrics research
- Biotin and Related Studies
- Innovation and Knowledge Management
- Retinal and Optic Conditions
- Forest, Soil, and Plant Ecology in China
Shanxi Medical University
2011-2024
Chinese PLA General Hospital
2024
Experimental Center of Forestry in North China
2012
Beijing Technology and Business University
2008
Weifang University
2007
Research collaborations are encouraged because a synergistic effect yielding good results often appears. However, creating and organizing strong research group is difficult task. One of the greatest concerns an individual researcher locating potential collaborators whose expertise complement his best. In this paper, we propose method that makes link predictions in co-authorship networks, where topological features between authors such as Adamic/Adar, Common Neighbors, Jaccard's Coefficient,...
<title>Abstract</title> Objective Compared to traditional intermediate concepts, specific bioinformatics entities are more informative and higher directional. This study is based on the BITOLA system combines methods determine concept which key improve efficiency of Literature-based Knowledge Discovery, proposes "Swanson framework + Bioinformatics", conducts practice Discovery scientificity research development. Methods Firstly, detected disease related genes (i.e. differentially expressed...
Compared to traditional intermediate concepts, specific bioinformatics entities are more informative and higher directional. This study is based on the BITOLA system combines methods determine concept which key improve efficiency of Literature-based Knowledge Discovery, proposes "Swanson framework + Bioinformatics", conducts practice Discovery scientificity research development. Firstly, detected disease related genes (i.e. differentially expressed genes) according results gene functional...
Abstract Knowledge innovation networks formulated by the collaborations between entities (industry department, school, research center and laboratory) evolving over time, varying regions, is an indicator of inter-regional knowledge linkages. In this work, we proposed a novel synergy analysis approach, taking structural value industry-science-research collaborative network as subsystem parameter. The changing parameter indicates Inter-Regional Innovation System ( IRKIS ), incorporating...