Background: With the continued development of new computational tools for multiple sequence alignment, it is necessary today to develop benchmarks that aid the selection of the mo...
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
Background: Analyzing interaction networks for functional characterization poses significant challenges arising from the noisy, incomplete, and generic nature of both the interact...
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Background: The main two sorts of automatic gene annotation frameworks are ab initio and alignment-based, the latter splitting into two sub-groups. The first group is used for int...
Heng Li, Liang Guan, Tao Liu, Yiran Guo, Wei-Mou Z...