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Specifically, all detected metabolites were used as input variables, and principal components were ranked on significant differences between scores of sample classifications.
The subtype classifications of TCGA GBM samples according to either Phillips et al. or Verhaak et al. have been reported in summary (Huse et al., 2011 [37]) and individual sample classifications were kindly provided by Dr. Cameron Brennan.
In GSEA, a gene's rank is determined by its correlation with the experimental sample classifications.
Despite this limitation, we had sufficient power to detect statistically significant differences in arsenic species across sample classifications.
In the following paragraphs, we interpret the meaning of each PC axis with literature surveys to assess appropriateness of the sample classifications based on our expression profile, and to decode insights into the differentiation and the growth control.
Their study verified the conjecture that there were a set of genes whose expression pattern was strongly correlated with the class distinction to be predicted and this set of informative genes can be used for sample classifications.
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The new small sample classification algorithm is worthy of further promotion.
Automatic classification was successful for all but four samples out of 14,400 classification trial configurations, representing 403,200 sample classification attempts (28 attempts per configuration).
These results shows that the first discriminant function is the most important in honey sample classification.
Variables with a larger VIP are more relevant for sample classification.
Spectral clustering is a graph partitioning method that can be used for sample classification when an affinity matrix of a weighted graph is given.
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