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Normalization was performed using the iterative log mean centering algorithm implemented in the MIDAS software (v2.19), and the fluorescence ratios were calculated from the normalized values.
The two channels were normalized using the iterative log mean centering algorithm implemented in the MIDAS software (v2.19) and the fluorescence ratios were calculated from the normalized values.
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So it is basically a mixture of a mean-centering algorithm like PAMR, and a scale-based algorithm similar to Ratio G.
Principal components analysis clustering was performed using a mean centered and scaled algorithm (GeneSpring 7.3, Agilent Technologies).
PCA and clustering analysis were performed on selected differentially expressed gene lists after data transformation and mean centering to cluster genes by averagely linkage algorithm.
Originally, GE data were normalized with the MAS 5 algorithm, mean centered to 600, and log 2 transformed.
Consider the n pairs 〈 s ′ t *, α ′ t * 〉 (t* = 1, … , n) from step B3 in algorithm B. Mean center each component s′(j) (j = 1, … , q) and scale it to have unit variance.
Compendia obtained by concatenating multiple datasets from independent studies with different experimental design were normalized according to RMA-algorithm and then gene mean centered.
Primary endocytic vesicles were detected in the streptavidin channel using a region growing algorithm that used intensity parameters (mean, center, maximal, standard deviation) as detection criteria.
In its previous versions, PoseView generated automatically 2D layouts for single protein-ligand complexes by means of a ligand centered algorithm.
In these figures, (i) and (ii) are the performance of the algorithm when we use both algorithms together; (iii) and (iv) are when we simply use the k-means algorithm or the k-center algorithm independently.
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