Functional interpretation of candidate gene lists is an essential task in modern biomedical
research. Here, we present the 2011 update of g: Profiler (http://biit. cs. ut. ee/gprofiler/), a …

Document clustering has many important applications in the area of data mining and
information retrieval. Many existing document clustering techniques use the “bag-of-words” …

We consider the widely-used average-linkage, single-linkage, and Ward's methods for
computing hierarchical clusterings of high-dimensional Euclidean inputs. It is easy to show …

This paper studies the hierarchical clustering problem, where the goal is to produce a
dendrogram that represents clusters at varying scales of a data set. We propose the …

In various disciplines, hierarchical clustering (HC) has been an effective tool for data
analysis due to its ability to summarize hierarchical structures of data in an intuitive and …

With a DVD of color figures, this book provides an expert guide to extracting the most
pertinent information from pharmaceutical and biomedical data. It offers a concise overview …

Honeybee salivary glands (SGs) are important exocrine glands. However, the molecular
basis of how SGs fulfill their biological duty is still elusive. Proteomics and …

Clustering is an effective, unsupervised classification approach for time series analysis
applications that suffer a natural lack of training data. One such application is the …