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The majority of genetic biomarkers for human cancers are defined by statistical screening of high-throughput genomics data.
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Statistical screening of treatment effects was measured by relative risk reduction, absolute risk reduction with adjustment for a small sample size and confounders in the study.
Statistical screening of media components for production of cellulase by B. amyloliquefaciens MBAA3 was carried out by Plackett Burman design.
Statistical screening of media components for production of carotenoids by L. plantarum QS3 using date syrup as a source of sugar was carried out using Plackett Burman design.
Statistical screening of media components for production of lactic acid by Lactobacillus sp. KCP01 using date juice as a sugar source was carried out by Plackett Burman design.
Plackett Burman statistical screening of 12 media components and subsequent optimization of significant parameters by response surface methodology for the biotechnological production of lovastatin by Monascus purpureus MTCC 369 was studied.
To provide information in the interpretation of spatial patterns that could be driven by sparse data, we preformed a 2-step statistical screening procedure, as follows.
A total of 278 gene transcripts were identified as being differentially expressed by age (212 genes) and/or diet (66 genes), according to the pre-planned statistical screening methods (Table 1).
Based on a 2.0-fold change cutoff and FDR <0.10, a total of 371 gene transcripts were differentially expressed by age (234 genes) and/or diet (137 genes), according to the pre-planned statistical screening methods (Table 1).
As representative examples, we determined specificity as a function of ligand sequence-dependent affinity contributions by statistical analysis of peptide library screens for the AF6, ERBIN and SNA1 (α-1-syntrophin) PDZ domains.
In an ideal world, public opinion is measured using probability-based samples guided by statistical principles of randomness.
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