Cluster analysis, in statistics, set of tools and algorithms that is used to classify different objects into groups in such a way that the similarity between two objects is maximal if they belong to the same group and minimal otherwise. In biology, clust
In subject area:Computer Science Hierarchical Cluster Analysis is a method used to group similar items together based on their characteristics, creating a tree diagram that visually represents the relationships between the items. AI generated definition based on:Measuring the User Experience (Second Editi...
Gene clusters for secondary metabolic pathways are also emerging as a new theme in plant biology, where they are required for the synthesis of defence compounds [3,9–11]. Why do secondary metabolic gene clusters exist and why are they so numerous, at least in some prokaryotic and eukaryotic...
Thus, the nucleic acid or protein referred to herein may be defined by additional features in addition to the definition as indicated, e.g. in addition to the definition by an ORF or SEQ ID number, or may consist of such indicated feature only.The term “heterologous” as it relates to ...
Numerous tag moieties are known to, and can be envisioned by, the trained artisan, and are contemplated to be within the scope of this definition. [0028] Nucleic Acid Molecules and Polypeptides [0029] Nucleic acid molecules may be prepared by two general methods: (1) they may be ...
of physical or abstract objects into a class consisting of similar objects. It is an important human behavior. The goal of cluster analysis is to classify data on a similar basis. Clustering comes from many fields, including mathematics, computer science, statistics, biology and economics. In ...
1d), but this may be due either to the loss of the aromatic residue which is important for ThT binding or to a decrease in fibrilization51. We confirmed our ThT results by imaging each sample using negative stain transmission electron microscopy (TEM) and find that the peptides that yield...
The difficulty may be related to the fact that in many methods there is no clear definition of what a cluster is in the first place. Furthermore, their clustering results may not be stable [7,8]. An important clustering technique that improves on and/or provides alternative solutions to ...
We used the accepted definition of a SAR that includes the DNA protein attachment points map to the same nonrandom genomic positions regardless whether they are isolated from the lithium-3‘,5‘-diiodosal-icylate (LIS) or from the 2 mol/L NaCl fractions.33, 34 We used the Laemmli assay ...
beginDefinitionSample A sample S=(Vs,Es)S=(Vs,Es) is a sampled subgraph of an original graph G=(V, E)G=(V, E), where Es ⊆ EEs ⊆ E and Vs ⊆ VVs ⊆ V such that each node that is noted in EsEs is in VsVs. endDefinition beginDefinitionSampling rate A sampling rate...