Sentence examples for data analysis material from inspiring English sources

Exact(1)

TH: study design, data analysis, material sampling, paper preparation.

Similar(59)

In addition, YCZ participated in data analysis and material collection.

Particular attention was paid to ensure that the genetic background was controlled in these experiments and stringent statistical conditions were used for the data analysis (see material and methods).

Data shown as mean ± SEM, Student's t test (see 'Detailed data analysis' in 'Materials and methods').

For data presentation, we combined the values from three independent experiments (see 'Detailed data analysis' in 'Materials and methods' for details).

p values from three independent experiments were then combined using Fisher's method and tested by χ test (see 'Detailed data analysis' in 'Materials and methods' for details).

With the additional improvements to our high-throughput data analysis (see Materials and Methods), parsing of nanoparticle responses that are of immediate interest become readily apparent.

Student's t-test (two-tailed) was used to compare the ser-7 effects on feeding rate between HH and DH groups, and between DD and HD groups (see 'Detailed data analysis' in 'Materials and methods' for details).

(D ) Increase in the average number of serotonin-positive serotonin-uptaking cells during the 1 hr refeeding on familiar or novel food in tph-1; Is[ptph-1 gfp]; Ex[ADF::tph-1::gfp] and Is[ptph-1 gfp]; Is[ptph-1::gfp]; Ex[ADF tph-1 gfp] (sEx[ADF tph-1 gfpemistry', 'Quantification of serotonin positive neurons' and 'Detailed data analysis' in 'Materials and methods' for details).

The Times's crime editor, Sean O'Neill, reports: "Despite knowing that the data had been passed to it improperly, Metropolitan police conducted a data analysis of the material, built a spreadsheet listing outgoing calls from 1,757 phones, and held on to the material for seven months despite requests to return it".

Resources that bring together genomic data, analysis tools, educational material and computational infrastructure can minimize the overhead required of life science researchers.

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