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Logistic analysis has been a popular analysis tool for cross-sectional studies because 1) standard statistical software packages perform logistic analysis; 2) if the disease or outcome is rare, then odds ratios are approximately equal to prevalence ratios; and 3) if the disease is not rare, then there have not been any good alternatives.
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With fast accumulations of molecular sequencing data, especially using whole-genome sequences from different organisms, inferring molecular evolutionary relationships using genomic data has been a popular phylogeny analysis approach in recent years.
EMD has been a popular choice for the time-frequency analysis in many fields.
Weighted gene co-expression network analysis (WGCNA) has been a popular network reconstruction tool used for bulk RNA-seq [88].
Principal component analysis (PCA) is a popular data analysis method.
The typical deformations are derived by principal component analysis (PCA), which is a popular statistical analysis method to understand typical variations in a dataset.
The Composite Curves (CCs) is a popular pinch analysis tool to determine the minimum energy targets.
The Composite Curves (CCs) is a popular Pinch Analysis tool to target the minimum energy requirements.
Static slicing is a popular program analysis used in software engineering to find which parts of a program affect other parts.
The response spectrum method is a popular dynamic analysis method and yields lucrative results.
Here, we used the k-clique clustering method provided by CFinder software [18], which is a popular network analysis method, to examine nodes' distributions.
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