Motivation Multiview clustering has attracted much attention in recent years. Several models and algorithms have been proposed for finding the clusters. However, these methods are developed either to find the consistent/common clusters across different views, or to identify the differential clusters among different views. In reality, both consistent and differential clusters may exist in multiview datasets. Thus, development of simultaneous clustering methods such that both the consistent and the differential clusters can be identified is of great importance. Results In this paper, we proposed one method for simultaneous clustering of multiview data based on manifold optimization. The binary optimization model for finding the clusters is relaxed to a real value optimization problem on the Stiefel manifold, which is solved by the line-search algorithm on manifold. We applied the proposed method to both simulation data and four real datasets from TCGA. Both studies show that when the underlying clusters are consistent, our method performs competitive to the state-of-the-art algorithms. When there are differential clusters, our method performs much better. In the real data study, we performed experiments on cancer stratification and differential cluster (module) identification across multiple cancer subtypes. For the patients of different subtypes, both consistent clusters and differential clusters are identified at the same time. The proposed method identifies more clusters that are enriched by gene ontology and KEGG pathways. The differential clusters could be used to explain the different mechanisms for the cancer development in the patients of different subtypes. Availability and implementation Codes can be downloaded from: http://homepage.fudan.edu.cn/sqzhang/files/2018/12/MVCMOcode.zip. Supplementary information Supplementary data are available at Bioinformatics online.
The purpose of this paper is to determine the impacts of conflicts on team trust and team performance at the University Scientific Research Teams in Jiangsu Province, China. This study considers three types of conflicts as independent variables, team success as a dependent variable, and team confidence as the mediating variable (task conflict, relationship conflict and process conflict). The survey of questionnaires is used to gather raw data: the survey of questionnaires. The questionnaire refers to a method that allows researchers to gather information on a specific target group to compare, explain or characterise an event / situation, attitudes, expertise, habits, and/or socio-demographic characteristics, and ultimately 140 respondents were considered as a final sample for this analysis. This research contributes to the existing information assembly in recognising the success of the team as this is the primary study with the arrangement of such factors. In the case of University Scientific Research Teams in Jiangsu Province, this study seeks to broaden the understanding of the link between task and relationship conflict, learning ability, accessibility of information, process conflict, team confidence, workforce optimization and team efficiency. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0710/a.php" alt="Hit counter" /></p>
The aim of this paper is to establish a conceptual articulation of team confidence in team success in scientific research teams at universities in the province of Jiangsu, China. Many universities have set up scientific research teams in order to produce further scientific research achievements and to promote progress. The study goals of this research are knowledge-based university science research teams. Fundamentally, the main objective of the analysis is to examine the effect of team confidence on team success in scientific research teams at universities in the province of Jiangsu, China. As this is a philosophical paper, to explain the conclusions, this analysis focuses on the empirical and theoretical articulations. Therefore, to achieve the research purpose, current research uses descriptive design as the most suitable study design. The findings indicate that the process variables have continuously attracted the attention of researchers to influence team performance; the relationship between team confidence and team performance has only begun to be explored. Team trust helps team members master team activities, minimise errors and delays, and enhance strategies to accomplish team goals, and develop creative problem-solving skills to better understand key task domains. Even, as successes in scientific research are placed into practical development. It hopes to bring tremendous economic benefits to businesses and the country. JEL: I20; I25 <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0750/a.php" alt="Hit counter" /></p>
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