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 downsampled monocyte-macrophages to 1,500 cells to provide a clear...
using CDA data, can differentiate cortical and trabecular bone in healthy horses. Subsequently, the study aims to identify the optimal CDA protocol for effective bone type clustering, including the selection of density standards and X–ray tube settings. Finally, the study aims to determine...
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 development and application of next-generation sequencing (NGS) technology and high-density SNP chips, as well as advanced statistical methods and bio-informatics tools have substantially improved the ability to detect genomic selected regions in livestock and poultry breeds. Selective signal detection...
Several of these constructions have good stability properties or good asymptotic behavior. However, as explained in [6], all of the known 1-parameter persistence strategies for handling outliers or variations in density share certain disadvantages: First, they all depend on a choice of a parameter...
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...
Using a diffusion map embedding algorithm, we identified gradient components, which estimated the low-dimensional embedding from the high-dimensional connectivity matrix. The algorithm is controlled by parameters α and t, where α controls the influence of the density of sampling points on the ...
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 ...
IOD Integral optical density, I–IV TNM staging of patients, alive/ dead survival information of the patient in the 5th year after surgery, KCTD9 potassium channel tetramerization domain containing 9, CRCcolorectal cancer, RT-qPCR real-time quantitative polymerase chain reaction A ...
The search was accelerated using the ELMA and the rotation step size was assigned random values in the algorithm. This method was tested by a set of simulation examples. The method of [76] developed a concurrent density distribution and build orientation optimisation framework of functionally graded...