This article explains qualitative data representation in NVivo. Visualisation takes place on attitudes or perceptions of participants on certain issues. With the use of different tools, visualisation takes place on different qualitative items of projects.
A bio marker or biological marker, are defined as an indicator of a biological state of a living body. It is a characteristic that is measured and evaluated as an indicator of normal biological processes.
Hamlet II helps in quantitative analysis of text. It helps assess the joint occurrences or recurrence of word frequencies in a vocabulary list or in content.
Cardiovascular diseases (CVD) refers to a diverse range of conditions that affect the heart or blood vessels. Major types of CVDs’ include coronary heart disease, stroke and heart failure. CVDs’, still remain the major cause of death across all the regions of the world.
Biomarker identification based on hypothesis approach uses mechanistic realization of the disease processes. In contrast, discovery based methods have emphasized on recognizing changes in the relative abundance or presence of molecular species (McDermott et al., 2013).
Cluster analysis serves as an extension to qualitative data representation through data visualisation. It is an exploratory technique for visualising patterns in a study by grouping sources or nodes.
Benchmarking is a process of comparing and contrasting best existing methods to new emerging techniques and methodologies. Benchmarking in biomarker discovery is a method of setting a baseline for identification and classification of new protein and molecules profiling technologies.
Trade liberalization in India post 1991 has transformed the scenario of capital influx in the country and has triggered the growth of secondary and tertiary sectors significantly. The growth dynamics of Indian economy especially the service sector propelled forward.