Open source clustering software.

3,030 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

The Botany Array Resource: e-Northerns, Expression Angling, and promoter analyses. (2005, methodology): “Clustering methods used to ﬁnd co-regulated genes may also not be sensitive enough to detect such transcription factors (Chen et al. , 2002).”
Circular RNA cSMARCA5 inhibits growth and metastasis in hepatocellular carcinoma. (2018, methodology): “0 software[29] and then further analysed by hierarchical clustering with average linkage.”
The AtGenExpress hormone and chemical treatment data set: experimental design, data evaluation, model data analysis and data access. (2008, methodology): “The data sets were then imported into Cluster 3 (de Hoon et al. , 2004), transformed to a log 2 scale.”
seqMINER: an integrated ChIP-seq data interpretation platform (2010, unknown): “The use of existing implementation (24) of clustering algorithms to organize these large datasets appeared to slow down considerably the analysis workﬂow (over an hour for the 8470 reference sites and two datasets).”