In order to evaluate whether any putative transcription factor-encoding genes are central to the each of the clusters, a list of all putative transcription-related entities in each cluster was obtained by assigning cluster entities to MapMan bins based on their putative biological function [ 36].
Macro-cluster entity in the repository is utilizing the same definition and attributes.
In a wide variety of emerging data-intensive applications, such as social network analysis, Web document clustering, entity resolution, and detection of consistently co-expressed genes in systems biology, the detection of dense subgraphs (cliques) is an essential component.
On the hierarchical clustering, entities are agglomerated into groups (clusters) and hierarchically ordered as a heap structure (see Figure 7).
This new dataset comprised a single specimen for each putative species cluster (molecular entity) obtained by reconstructing the consensus of all the sequences recovered in the same species cluster.
The format is text with each line showing one cluster - entities user ids as well as internal entity unique identifiers of entities belonging to the cluster are given.
For example, Cohen et al. [ 2] reported that SoftTFIDF generally works the best for the term clustering of entity names, and Okazaki et al. [ 3] reported that the use of a hybrid distance with 0.2 as the optimal threshold was the best setup for the problem of abbreviation-full form clustering.
Our solution is able to transfer high quality knowledge via noise reduction, to model rich pairwise interactions among individual-level and cluster-level entities, and to adapt the potential inconsistent knowledge from implicit feedbacks to explicit feedbacks.
Our system, B-hist, aims at providing web users with an effective tool for searching and accessing information they previously looked up on the web by supporting multiple ways of filtering results using clustering and entity-centric search.
PE data were analysed by k-means clustering of entities using a Euclidean similarity measure.
Heatmaps were generated by hierarchical clustering on entities using a Euclidean similarity measure and centroid linkage rule.
