This will retrieve information regarding cluster loci, cluster length, total piRNA within the cluster, prevalence of piRNA in plus/minus strand, %GC content in piRNA cluster and the corresponding motif.
Therefore, we do not present results of the age and gender adjusted logistic models regarding the clusters of OLTA without these interactions (Model 2).
A first overview on this is shown by COGs/KOGs 38, 39 and using available genome information regarding protein clusters in nematodes (C. elegans) and H. sapiens.
These labels may reflect a value judgment, which was not intended as such, but was used as an efficient way to further describe results regarding the clusters.
Results are evaluated regarding the number of clusters, cluster size, cluster stability, and the evolution of clusters over time.
Regarding the clustering coefficient, we observed that the average values for both the samples are very high, similarly as reported by other recent studies on OSNs [3, 44].
Information regarding clusters of orthologous groups (COGs), KEGG orthology (KO), protein localization and gene ontology were obtained from the Joint Genome Institute Integrated Microbial Genomes database.
Details regarding the 31 clusters of co-expressed genes are summarized in Table 2.
However, conclusions regarding HOX gene clusters alone cannot to be extended to define the evolutionary history of entire genome.
For the data presented here we found that results with Kohonen clustering were very similar to those obtained with K-Means or LBG (Linde-Buzo-Gray) [25] clustering (see Considerations Regarding Clustering in Text S1, Figures S1 and S2, and section A Collective Code on Multiple Timescales below).
This framework allows one to assess classical properties of clustering methods, such as consistency, and to formally study statistical inference regarding the clustering parameter.
