Product-type integration ruleHomogeneous random fieldSpectral representationCubature of random functions with multivariate domains by means of product-type integration rules is examined. Bounds for the approximation error with respect to the L p -norm and in terms of the L茅vy distance are established...
After the segmentation process, all segments were edited in order to fit and match the convolution size defined for the CNN algorithm. The parcel-based method was reported to be superior by approximately 50%. Zhang et al. (2018a, b) detected urban land use types using object-based and ...
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44]. Credit must be given to John Holland of the University of Michigan who conceived and developed this algorithm [43,44]. It is also a member of the family of evolutionary computing
By doing so, new cell types, high-resolution subtypes, and their dynamic behaviors are also recognized by their biologically relevant and interacting signatures rather than random noise and/or batch effects, meanwhile the annotations are, intrinsically by default, biologically relevant and interacting ...
Cancer stem cells (CSCs) are a subpopulation of cancer cells endowed with high tumorigenic, chemoresistant and metastatic potential. Nongenetic mechanisms of acquired resistance are increasingly being discovered, but molecular insights into the evolutionary process of CSCs are limited. Here, we show that...
This approach enables quantification of whether the observed impact of the outside variant genotype is more than expected by random chance. Each genotype combination was evaluated independently such that up to nine p values are generated per outside variant GWAS pair. This approach enables ...
Performance of STdGCN on the human breast cancer 10X Genomics Visium dataset.AandBUMAP plots of the cells from the scRNA-seq dataset divided by patient and cell type.CThe heatmap displays the co-localization score (“Methods”) for normal cells, cancer cells, lymphocytes (integration of B-cel...
Random Forest (RF) is a widely used machine learning algorithm for crop type mapping. RF’s variable importance aids in dimension reduction a
3b). The first data integration (1) is for the same type of sequencing modality for batch effect removal in the data. This is also applied to each modality in our metabolomic and proteomic data. The second type of algorithm (2) works under the assumption that multi-omics data share the ...