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The development of the two molecular subtyping profiles is inherently different, where PAM50 was based on unsupervised clustering versus BluePrint which was developed on a rational-based method, leading to a functional subtyping profile [ 3].
To this end, feedforward neural networks (FNNs) and a feature selection method based on unsupervised clustering, were employed.
These parcellations depending on DTI or fMRI data were mainly based on unsupervised clustering techniques, such as the K-means cluster and spectral cluster algorithms [72, 73].
This focus was substantiated by the very robust stratification of the cell lines based on unsupervised clustering of the gene expression data.
STEM is a statistical technique based on unsupervised clustering to find cluster-centroids followed by assignment of genes using distance-classifications, with statistical analysis using enrichment-based techniques.
This approach is particularly relevant for our application because it is based on unsupervised clustering, bypasses multiple testing problems when relating gene information to physiological traits, and does not need a priori gene ontology information.
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Using gene expression profiling with cDNA microarrays, Perou and colleagues showed that there are several subgroups of breast cancer patients based on unsupervised cluster analysis: those of 'basal type' and those of 'luminal type'.
To further examine these options, we subdivided all 549 observed expression profile into 12 clusters, based on unsupervised hierarchical clustering.
Based on unsupervised hierarchical clustering, DHF grades I/II patients' expression profiles appear very close or indistinguishable from those of DF patients at the same time of disease evolution, while they group into two heterogeneous sub-groups (1 and 2b, Figure 1), of which significance should be investigated.
Patients stratification based on unsupervised hierarchical clustering divided patients into two groups.
Expression map of the top 40 differentially expressed lncRNAs and protein-coding genes in iCD versus iUC based on unsupervised hierarchical clustering.
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based on unsupervised machine
based on unsupervised transcriptome
based on statistical clustering
based on isotig clustering
based on supervised clustering
based on unsupervised factor
based on unsupervised word
based on unsupervised learning
based on general clustering
based on phylogenetic clustering
based on hierarchical clustering
based on fuzzy clustering
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