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It also prevents pooling of small datasets for analysis.
1. Collecting data The initial step for all researchers who work with BSD is to collect needed datasets for analysis.
In the future, data from all provider and patient sources will be integrated, creating massive datasets for analysis.
We aimed to address this shortcoming in the current work, as exemplified by a kinase data set, given the importance of kinases in many diseases as well as the availability of large-scale datasets for analysis.
An intensity threshold of 30 was then applied to generate datasets for analysis.
Four patients dropped out within 24 h of initiation of monitoring due to discomfort or other reasons, leaving 17 (81%) datasets for analysis.
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Analysis for the GLM was conducted by combining the genotype data for 17,387 SNP markers and the phenotype data and using the united dataset for analysis.
All record linkage was undertaken by ISD, who provided us with an anonymised dataset for analysis.
These samples represented a number of different platforms; all platforms were translated to a single dataset for analysis.
When satisfied with the predicted result, the user can start the computation to create a dataset for analysis.
We next analyzed the ability of HMMSplicer to identify junctions with splice sites other than GT-AG using the human resting CD4 dataset for analysis.
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