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To accomplish this, the data were organized as multiple records per patient, each record being defined as a six month interval, as described above.
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As previously explained, LA-iMageS accepts ICP MS data in the PerkinElmer Elan XL format, where data are organized as rows and columns.
In the EKF algorithm these data are organized as in (1), where (mu ^{(t)}) is composed of the estimated robot position and the feature set at time (t).
As in the relational model, key-value data is organized as a B-tree.
These data are organized as PPI networks and an efficient and biologically meaningful method to compare such PPI networks is needed.
Data are organized as an interactive database offering an opioid receptor atlas with concomitant MOR/DOR visualization at subcellular resolution, accessible online.
Data are organized as graphical representations of chromosome 1H and 7H with an indication of the PCR result at each MS locus in all DNA-protein fractions analyzed.
Assuming the data is organized as a 2-level hierarchy, the intra-divisional correlation coefficient is the proportion of division-level variance out of the total variance for that division [ 25].
The data are organized as level of regulation (up/down), fold change, percentage of hypoxia, tissue of expression, PubMed link to the research publication and the type of study (genomic/transcriptomic/proteomic) done to state the correlation.
In short, the data was organized as m × n matrix where m is the different samples (columns) and n is gene set Z-values (rows), mean of each row was subtracted and SVD was calculated using JMP's in-built SVD function as illustrated in this document: http://www.cs.princeton.edu/picasso/mats/PCA-Tutorial-Intuition_jp.pdf and also used in this script: http://abs.cit.nih.gov/MSCLtoolbox.nih.gov/MSCLtoolbox
As reported elsewhere [ 10], data were organized using NVivo10 software.
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