Sentence examples for background in datasets from inspiring English sources

However, because such methods often rely on a mock immunoprecipitation (IP) sample, which many otherwise rich ChIP-Seq datasets lack (including Barski et al. [ 11]), it would be worthwhile to pursue developing a method for identifying the background in datasets with multiple experimental IPs but no mock IP.

Because we observed a gradient in background in some datasets we implemented an optional linear model of Sentrix position to obtain smooth background offsets.

The specifics of this filter depend on knowledge of the data at hand, e.g. removing genes never significantly above background in a microarray dataset or metagenomic taxa never above a relative abundance cutoff.

Indeed, in the background subtracted datasets, very few new positions were detected in any category in datasets with more than 50 million fragments.

Average bead intensity values were exported from the Illumina GenomeStudio, log base 2 transformed, and 14,343 probes that are consistently detected above background in multiple gene expression datasets that we have analyzed [ 17- 19] were retained for subsequent analyses.

The GO annotations of Dictyostelium discoideum were used as the background dataset in this study.

Importantly, the incorporation of background control dataset in the analysis reduces the FDR levels but the percentage of true site recovery is also compromised for MACS (less than 80%), while MeDiChISeq manages to keep the percentage of recovery levels up to 90% even under these conditions (FDR < 0.4).

To analyze the light curve of the ACIS imaging background in order to clean the dataset of periods of anomalous background rates.

Ignore all data points below channel 100 and above channel 500 in the second background dataset associated with source dataset 1.

Because PeaKDEck adjusts signal measurement to account for local variation in read densities and extensively samples background signal in individual datasets, PeaKDEck performs well at setting thresholds in low SNR datasets.

In the first step, the information about interactions between protein and ligand fragments is extracted from the 3D structures of protein ligand complexes in the background knowledge dataset.