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Researchers access multiple datasets of disparate origin, and identify elements e.g.g
The enrichment zone thresholds for multiple datasets of a given TF were averaged to select one threshold value per TF.
To dissect the heterogeneity of ovarian cancer and identify histotype-specific alterations, we used an in silico hypothesis-driven approach on multiple datasets of epithelial ovarian cancer.
Contrasting the performance of multicore and many-core processors, using multiple datasets of different sizes, highlights the advantages and disadvantages of each architecture as applicable to MCPSC.
The duplicate samples across multiple datasets of cattle were identified and removed based on an IBS matrix computed using PLINK (Purcell et al. 2007).
Integrating across multiple datasets of the same phenotypes from different labs can also help to amplify the primary biological signal of interest relative to noise.
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To study the effect of multiple datasets on the quality of the inferred networks, we have used four datasets in each experiment.
A variety of database tools are currently available to facilitate the integration of multiple datasets on cell lines.
Analysis of multiple datasets, for example combined analysis of microarray gene expression datasets addressing similar biological questions conducted at an interpretational level by meta-analysis, can enable more accurate results.
GSMA provides a simple and straightforward method for hypothesis testing in which genes are tested by groups across multiple datasets for patterns of expression enrichment.
The performance of only one rule could be reasonably assessed across multiple datasets; that of absolute monocyte count and temperature criteria proposed by Rackoff to exclude bacteraemia.
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