Biological Theme Comparison
نویسنده
چکیده
In recently years, high-throughput experimental techniques such as microarray, RNA-Seq and mass spectrometry can detect cellular moleculars at systems-level. These kinds of analysis generate huge quantitaties of data, which need to be given a biological interpretation. A commonly used approach is via clustering in the gene dimension for grouping different genes based on their similarities(Yu et al., 2010). To search for shared functions among genes, a common way is to incorporate the biological knowledge, such as Gene Ontology (GO) and Kyoto Encyclopedia of genes and Genomes (KEGG), for identifying predominant biological themes of a collection of genes. After clustering analysis, researchers not only want to determine whether there is a common theme of a particular gene cluster, but also to compare the biological themes among gene clusters. The manual step to choose interesting clusters followed by enrichment analysis on each selected cluster is slow and tedious. To bridge this gap, we designed clusterProfiler, for comparing and visulizing functional profiles among gene clusters.
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تاریخ انتشار 2012