Webb8 nov. 2024 · simplifyEnrichment: Simplify functional enrichment results; simplifyGO: Simplify Gene Ontology (GO) enrichment results; subset_enrichResult: Subset method of the enrichResult class; term_similarity: Similarity between terms based on the overlap of genes; term_similarity_from_enrichResult: Similarity between terms in the enrichResult … WebbSimplify Functional Enrichment Results Bioconductor version: Development (3.17) A new clustering algorithm, "binary cut", for clustering similarity matrices of functional terms is …
CRAN - Package fpc
WebbCluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison … Webb1 jan. 2024 · simplifyEnrichment,一个对GO富集结果进行聚类和可视化的工具. 在前一篇博文中,我介绍了我的一个新的Bioconductor包cola,在这篇博文中,我继续介绍另一个 … flying battery zone layout
simplifyEnrichment: an R/Bioconductor package for Clustering and …
Webb29 juli 2024 · simpleEnrichment包能够让我们在繁多的GO terms中找到重点,从而更好的进行下一步分析,在实际使用过程中,由于代码简单,还是非常方便的,大家可以在科研 … Webb24 aug. 2024 · Motif enrichment algorithms can identify known sequence motifs that are present to a statistically significant degree in DNA, RNA and protein sequences. Databases of such known motifs exist for DNA- and RNA-binding proteins, as well as for many functional protein motifs. The SEA (“Simple Enrichment Analysis”) algorithm presented … WebbOnce you have the similarity matrix, you can send it to `simplifyEnrichment()` function. But note, as we benchmarked in the manuscript, the clustering on the gene: overlap similarity performs much worse than on the semantic similarity. ## Comparing clustering methods: In the **simplifyEnrichment** package, there are also functions that compare green life organic farming