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For the classification of samples, cluster analyses were performed on a Bray-Curtis dissimilarity distance matrix of standardized genera abundance data, derived from 16S rDNA amplicon libraries generated from extracted RNA (cDNA) or DNA, based on group average by the Unweighted Pair Groups Method using Arithmetic means agglomeration algorithm (UPGMA).
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Hierarchical clustering was performed after centering of peak expressions using the Ward Agglomeration Algorithm and a distance defined by the correlation coefficient for peaks and an euclidean distance for samples.
Unsupervised clustering of expression profiles for differentially expressed genes was carried out using Pearson's correlation and an average agglomeration algorithm.
DAVID can condense a list of genes or associated biological terms into organized classes of related genes or biological modules by using a novel agglomeration algorithm.
The fragmentation behavior of heterogeneous structures, simulated by a variety of standard agglomeration algorithms, was analyzed for the case of simple shear flow.
Here, Alg means algorithm and '-' means failure.
Bigger PMI means a better algorithm.
It means that the algorithm is stable.
It also means smarter algorithms.
The x-axis means the algorithms used and the y-axis means the average rank of each algorithm.
The sticking efficiency ϕ (Eq. 5) can be calculated by comparing the measured agglomeration rate (Eq. 6) and predicted shear-induced collision rate (Eq. 7). Figure 4 shows that the sticking efficiency ϕ, i.e. the ratio of observed mean agglomeration to orthokinetic collision rate derived from Eq. 4, is negatively affected by fluid shear and the duration thereof.
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