|Title||An R package for divergence analysis of omics data.|
|Publication Type||Journal Article|
|Year of Publication||2021|
|Authors||Dinalankara W, Ke Q, Geman D, Marchionni L|
|Keywords||Databases, Genetic, Genomics, Humans, Neoplasms, Software|
Given the ever-increasing amount of high-dimensional and complex omics data becoming available, it is increasingly important to discover simple but effective methods of analysis. Divergence analysis transforms each entry of a high-dimensional omics profile into a digitized (binary or ternary) code based on the deviation of the entry from a given baseline population. This is a novel framework that is significantly different from existing omics data analysis methods: it allows digitization of continuous omics data at the univariate or multivariate level, facilitates sample level analysis, and is applicable on many different omics platforms. The divergence package, available on the R platform through the Bioconductor repository collection, provides easy-to-use functions for carrying out this transformation. Here we demonstrate how to use the package with data from the Cancer Genome Atlas.
|Alternate Journal||PLoS One|
|PubMed Central ID||PMC8021195|
|Grant List||P30 CA006973 / CA / NCI NIH HHS / United States |
R01 CA200859 / CA / NCI NIH HHS / United States
Luigi Marchionni, M.D., Ph.D.