Developmental trajectory and lineage tracing of Mac1 subset To determine the potential relationship between monocytes and the Mac1 subcluster, we examined the dynamic immune states and cell transitions of the monocyte-macrophage compartment by the Monocle algorithm27. In pseudotime analysis, we downsample...
Rabies positive cells were assigned to one of the two components (i.e., superficial and deep layers) created by the clustering algorithm. Data is presented as the proportion of all rabies labelled cells in each layer. As an internal control data for cholera toxin labelling is also presented ...
The clustering result for K = 4 indicated the presence of a clear division between the breeds with high egg-laying production (ZE, HY, and SC) and low egg-laying production (ST, ZD, and LH). This is also consistent with the results of the PCA and NJ tree. Fig. 1 Population ...
McInnes L, Healy J (2017) Accelerated hierarchical density based clustering. In: 2017 IEEE International Conference on Data Mining Workshops (ICDMW), pp 33–42 McInnes L, Healy J, Astels S (2017) hdbscan: Hierarchical density-based clustering. J Open Source Soft. https://doi.org/10.21105/jo...
Fig. 21. Scatterplot of A2u parameters of monoporphyrin-lanthanoid coordination compounds (blue) and bis-porphyrinoids (green and orange), overlaid on a kernel density estimation plot. The increased density and clustering of similar compounds indicates that there are three distinct conformational cl...
they present a polynomial time algorithm to compute the barcodes of a horizontal or vertical slice of the multicover bifiltration (i.e., of a one-parameter filtration obtained by fixing either one of the two parametersr,k). The case of fixedrand varyingkis more challenging because the order...
With the popularity of unsupervised machine learning methods, the classical DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm (Ester et al., 1996) has recently drawn much attention. In practice, the DBSCAN algorithm has been successfully applied in cloud identific...
Early endosomes were significantly more numerous in DS fibroblasts as compared to 2 N fibroblasts (density increased by 75%). The clustering phenomenon observed by EM after chemical fixation in DS LCLs and fibroblasts was very rare after HPF, indicating that it could be an artefact due to ...
Unsupervised hierarchical clustering was conducted using the online software, Morpheus, (https://software.broadinstitute.org/morpheus/). Proximity between clusters was computed using complete linkages with Spearman rank correlations as the distance metric. The clustering algorithm works agglomeratively: initi...
The distribution of the cells analysed was represented using kernel density estimation (KDE)-based heat maps. Exploration of the zonation patterns in the developing lung using ST To explore the zonation of mesenchymal populations present in the developing lung with ST datasets, we analysed sections ...