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Data for many probesets in a given expression microarray dataset are comprised of noise but little or no biological signal.
In both the study by Atias and our study, portions of each dataset are comprised of microarray samples involved in pathogen experiments.
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Their dataset was comprised of over 1,500 mouse genes and their human orthologs that are expressed in over 26 stages of embryonic development.
The dataset was comprised of ninety-nine targets of different natures, for which enrichment results were already reported for the USR and USRCAT algorithms [11].
The final dataset was comprised of a mixture of cross-sectional and longitudinal data.
The VidTIMIT dataset is comprised of video and corresponding audio recordings of 43 people.
The resulting dataset was comprised of 268 unique sequences identified as novel bovine miRNA and miRNA* (Supplemental Tables S3 S5).
While the original dataset was comprised of three groups (AML, ALL T-type and ALL B-type), the present analysis created only two classes: AML and ALL.
Due to exclusion of technically unacceptable datasets, the final dataset was comprised of 95 time series that were acceptable and included a mixture of cross-sectional and longitudinal data (Table 1).
The final dataset was comprised of 819 children of whom 232 died (28%).
The control dataset is comprised of the corresponding SNVs from the 174 HapMap CEU individuals.
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