First, given that SGs in PC12 cells extensively cluster in the case of myosin Va-tail fragment expression (Rudolf et al. 2003), similar to organelles of other cell types (Wu et al. 1998), sterical hindrance could impede membrane remodeling.
For the past few years, many researchers have extensively investigated clustering techniques for WSNs and wireless ad hoc networks [21, 22].
Collated neuroanatomical data sets from several species [2], [3] on the neuroanatomical connections of multiple cortical regions have been analyzed extensively, examining hierarchical organization, clustered and modular architecture and other key network metrics such as small-world attributes [4] [6].
Secondly, the algorithm is sensitive to the choice of the starting conditions but samples extensively the clusters by running over a small number of initial conditions, so that the method proves convenient to investigate large and noisy data sets.
In other words, the consensus patterns is encoded by the discretized version of the profile matrix Q: N C → N D according to the expression Armed with a metrics in string space, we now face the problem of extensively searching clusters.
The SF-36 is an extensively used generic questionnaire containing 36 items clustered in eight dimensions.
Patients also completed SF-36, an extensively used generic questionnaire containing 36 items clustered into eight dimensions.
The cells were clustered together in relatively small groups, while the matrix was extensively metachromatic and the new cartilage was finely integrated with peripheral cartilage.
Unsupervised clustering methods extensively used to identify cell subpopulations from scRNA-seq samples include PCA and its variants (e.g. Kernel PCA, rPCA) [21, 73, 74], k-means, and other distance-based algorithms, such as hierarchical clustering [73].
