Sentence examples for many data analyses from inspiring English sources

In many data analyses in physics, the most familiar measure of dependence might be the linear correlation coefficient ρ.

Feature selection has been used in many microarray data analyses in both supervised learning (classification) and unsupervised learning (clustering) contexts.

Finally, comparative analysis between gene lists is common in many biomedical data analyses, but existing web tools often present comparisons one list at a time.

mzMatch has been applied to many metabolomics data analyses (Jankevics et al., 2011; t'Kindt et al., 2010) and is the underlying platform for software such as IDEOM (Creek et al., 2012).

A well-designed database model reduces a variety of integrity errors and improves access to data tables in identical formats across many plots, allowing data analyses to be easily replicated and results to be compared.

This analysis method was originally developed for identifying co-expressed gene clusters in many DNA microarray data analyses [33], [34].

A significant advantage of the study, in common with many other secondary data analyses, is the comprehensive geographical extent of the data and the large population considered.

Many modern genomic data analyses require implementing regressions where the number of parameters (p, e.g., the number of marker effects) exceeds sample size (n).

Like many other pharmacovigilance data analyses, our proposed associations between ADEs and high-dimensional drug interactions need further molecular experimental validation, and using a more stringent pharmacoepidemiological study design and alternative databases.

Many results of big data analyses cannot be reproduced (Ince 2012; Ioannidis et al. 2009).

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.