![]() ![]() The data analysis process helps in reducing a large chunk of data into smaller fragments, which makes sense. Considerations in research data analysisĭefinition of research in data analysis: According to LeCompte and Schensul, research data analysis is a process used by researchers for reducing data to a story and interpreting it to derive insights.Methods used for data analysis in quantitative research.Methods used for data analysis in qualitative research.Finding patterns in the qualitative data.GenEx™ Enterprise also provides modules for data analysis conforming to the Clinical and Laboratory Standards Institute (CLSI) standard documents.įor a module by module comparision of the three different variants of GenEx™ click on the following button. ![]() GenEx™ Enterprise contains all modules of GenEx™ Professional plus the most advanced data analyses including Dynamic PCA, ROC curve, Artificial Neural Network, and Support Vector Machine. ![]() GenEx™ Professional also contains all wizards for direct data import from instruments. GenEx™ Professional contains all modules of GenEx™ Standard plus a larger number statistical analysis modules, suitable for gene expression profiling. GenEx™ Standard provides an extensive set of pre-processing modules together with data visualization and a limited set of analyses. GenEx™ Standard, Professional, Enterprise New features are continuously being added to GenEx™ with close attention to customer needs. Current features include parametric and non-parametric statistical tests, clustering methods, principal component analysis, artificial neural networks, and much more. Powerful enough to demonstrate feasibility, it often proves sufficient for most users. When you need advanced analyses, GenEx™ Professional is the place to start. Intuitive and powerful presentation tools present professional illustrations of even the most complex experimental designs. GenEx™ has a streamlined and user-friendly interface that supports pre-processing. The pre-processing steps need to be performed consistently in correct order and with confidence. Possibly the most important part of qPCR experiments is to pre-process the raw data for subsequent statistical analyses. GenEx™ provides methods to select and validate reference genes, classify samples, group genes, monitor time dependent processes, and much more. Its capabilities ranges from basic data pre-processing and management to advanced cutting-edge data analysis. GenEx™, the popular software for the processing and analysis of real-time qPCR data, provides a multitude of functionalities for the qPCR community. ![]()
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January 2023
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