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Fig. 6 Distance to model metric used to assign samples (calibration and test sets) to colorant classes resulting from the SIMCA modelling approach: kermes (light-blue), lac dye (dark-blue), cochineal (green) and brazilwood (red).
For each factor level two through six, gNMF was repeated 100 times to build a consensus matrix, and this was used to assign samples to clusters based on the most common consensus.
K-means clustering was then used to assign samples to separate subclusters (Supplementary Figure 2).
A cut-off probability of 70% was used to assign samples to a cluster.
We show that expression data from FFPE material can be used to assign samples to intrinsic molecular subtypes identified using FF material.
Information that distinguishes these groups (i.e. differences in protein intensity/complexity) collected from an experiment is used to assign samples (gels) to these known groups.
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A recent study has identified these PCAIMs for samples of North-Central European and Mediterranean origin, and has shown that they may be used to assign sample ancestry.
To avoid potential biases due to batch, chip, and position effects, a stratified random sampling technique was used to assign individual samples (including five common control samples for the first 480 samples) to specific BeadChips (12 samples/chip) and chip position.
The linear function related to this signature can be used to assign new samples to its corresponding class.
The model constructed on the experimental dataset can be used to assign unknown samples to a previously defined class based on its measured features such as spectrum.
Such multivariate model, obtained with a RLS analysis, was used to assign the samples to a group and the classification results were compared to the l1l2 microarray-based model.
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used to reconstituent samples
used to handle samples
used to analyze samples
used to drive samples
used to represent samples
used to generate samples
used to create samples
used to normalize samples
used to assign instances
used to test samples
used to simulate samples
used to prepare samples
used to assign children
used to preserve samples
used to grow samples
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