Sentence examples for analysis steps to identify from inspiring English sources

See Additional file 14 for a flow chart summary of the analysis steps to identify the high-confidence ageing-associated CpG sites.

This type of a more causal case-ordered analysis covers the analytical steps to identify configurations of variables that contribute to a criterion variable.

The bioinformatics analysis and the filtering steps to identify the coding variants are detailed in the Supplementary Material.

46 47 In the first step, the qualitative data will be analysed by the research assistants and principal investigators according to a qualitative content analysis process in three iterative steps, to identify emerging themes and trends: data reduction, data organisation (matrix-schemes) and their interpretation.

For this purpose, factor correlation analysis and factor cluster impacts are used as they are the most valuable SPSS analysis steps used to identify each factor related impact with respect to different enterprises.

Additional file 14: Flow chart of the analysis steps used to identify ageing-associated methylation sites.

The first analysis step was to identify the bipolar contact that recorded the highest power in the frequency range of interest, from 13 to 35 Hz, on each side in each patient.

Thus, spatial analyses were performed in four stages (step by step): Unadjusted analysis, to identify and localize the most likely cluster of high incidence of ESRD.

We set up a two-step analysis process to identify rRNA- and mRNA-derived tags ("ribo-tags" and "mRNA-tags", respectively) for efficiently and reliably obtaining taxonomic and functional information (Fig. 1).

The process involved three steps: Analysis of multicollinearity This initial step used correlation analysis to identify and address multicollinearity between variables, with the model adjusted to address it.5 Backwards and forwards LR stepwise regression The selected variables were run against the data on households' experience of different kinds of flooding.

Data from the Yorkshire Health Study of 4,144 obese individuals – those with a BMI of over 30 – was analysed by scientist using a two-step cluster analysis to identify the groups who shared common characteristics.