Results 11 to 20 of about 1,994,298 (265)
clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
Innovation(China), 2021 Summary Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life science. It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible.
Shuangbin Xu +2 more
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Nucleic Acids Res., 2022 Much of the complexity within cells arises from functional and regulatory interactions among proteins. The core of these interactions is increasingly known, but novel interactions continue to be discovered, and the information remains scattered across ...
Damian Szklarczyk +12 more
semanticscholar +1 more source
Nucleic Acids Res., 2022 DAVID is a popular bioinformatics resource system including a web server and web service for functional annotation and enrichment analyses of gene lists. It consists of a comprehensive knowledgebase and a set of functional analysis tools. Here, we report
Brad T. Sherman +7 more
semanticscholar +1 more source
Nucleic Acids Res., 2023 g:Profiler is a reliable and up-to-date functional enrichment analysis tool that supports various evidence types, identifier types and organisms.
Liis Kolberg +5 more
semanticscholar +1 more source
Nucleic Acids Res., 2021 Gene set enrichment (GSE) analysis plays an essential role in extracting biological insight from genome-scale experiments. ORA (overrepresentation analysis), FCS (functional class scoring), and PT (pathway topology) approaches are three generations of ...
Dechao Bu +14 more
semanticscholar +1 more source
GSEApy: a comprehensive package for performing gene set enrichment analysis in Python
Bioinform., 2022 Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes. However, the currently available tools used to perform GSEA have a limited ability to analyze large datasets, which is particularly ...
Zhuoqing Fang, Xinyuan Liu, G. Peltz
semanticscholar +1 more source
Prior Guided Feature Enrichment Network for Few-Shot Segmentation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 State-of-the-art semantic segmentation methods require sufficient labeled data to achieve good results and hardly work on unseen classes without fine-tuning.
Zhuotao Tian +5 more
semanticscholar +1 more source
Electronic Notes in Theoretical Computer Science, 2008 AbstractA category with biproducts is enriched over (commutative) additive monoids. A category with tensor products is enriched over scalar multiplication actions. A symmetric monoidal category with biproducts is enriched over semimodules. We show that these extensions of enrichment (e.g.
openaire +3 more sources
ShinyGO: a graphical gene-set enrichment tool for animals and plants
Bioinform., 2019 MOTIVATION Gene lists are routinely produced from various genome-wide studies. Enrichment analysis can link these gene lists with underlying molecular pathways and functional categories such as gene ontology (GO) and other databases.
S. X. Ge, Dongmin Jung, Runan Yao
semanticscholar +1 more source
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Nucleic Acids Res., 2016 Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr.
Maxim V. Kuleshov +13 more
semanticscholar +1 more source