Sentence examples for types of data analyses from inspiring English sources
Network analysis entails numerous concepts and measurements absent in more standard types of data analyses.
Bioinformatics requires a large variety of software tools for different types of data analyses.
Numerous tools have been integrated to facilitate various types of data analyses.
Existing web-based databases for plant pathogen genome data differ not only in terms of the number and diversity of genomes they encompass, but also in the types of data analyses supported.
The different modes of data collection require different types of data analyses, e.g. qualitative analyses for interviews and focus groups, quantitative analyses for questionnaires and diaries, and content and interaction analyses for video recordings.
17 Some trialists use other types of data analyses (commonly labelled as "modified intention to treat" or "per protocol") that exclude data from certain participants—such as those who are found to be ineligible after randomisation or who deviate from the intervention or follow-up protocols.
The type of constructs and variables used in the questionnaire development, the way these constructs and variables are operationally defined, the self-reported nature of the collected data, and the type of data analyses carried out all may contribute to explaining the difficulty of finding strong associations between students' performance and process-related school variables.
Comparison of walk and sweep test baseline demographics used unpaired Student's t-tests or Fisher's exact tests, depending on the type of data analysed.
In other words, genes located on the opposite strands of a linear chromosome, the type of data analysed by CREx, are individually marked with either a + or − sign.
Similar queries based on the type of data analysed are grouped together (see Table 2 for an overview of the categories).
We therefore believe there is no right solution or platform that solves all scalability problems, and that more research is needed to scale up and cost-optimize the many types of bioinformatics data analyses.
