The core technology, FP-DMP, combines Gaussian mixture models (GMM) and PCA for efficient trajectory clustering based on bowing angles, uses type-2 fuzzy K-means for nuanced differentiation of violin ...

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The ubiquitin-proteasome system contributes to protein quality control, involving E3 ligases that ubiquitinate proteins and leading to their degradation. The dysregulation of protein degradation ...

Therefore, it is essential to determine the number of hidden layers and neurons that are appropriate to achieve good performance in neural networks. The use of PCA and K-Means clustering is expected ...

Modulating gene expression in macrophages can be used to improve tissue regeneration and redirect tumor microenvironments (TMEs) toward positive therapeutic outcomes. We have developed Bacillus ...

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional ...

Blue indicates low similarity, yellow high similarity. (fourth row) PCA-based intrinsic dimensionality plots, showing the number of components required to explain 95% of the variance, and ...