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Two separate histone modification datasets were studied, at both the open reading frame (ORF) and the promoter region of binding targets for 37 yeast transcription factors.
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Since array difference in genome-wide coverage (e.g. data from Kurdistani et al. contains only ~1580 promoters and ~2384 ORFs; but a high-resolution microarray data from Pokholok et al. includes ~5522 ORFs and ~5504 promoters), the above-mentioned two histone modifications datasets were separately analyzed.
The histone modification dataset is based on raw tag hit data from ChIP-seq experiments on human T-Cells [ 29].
To test these modifications, 2 datasets were used: records of Department of Defense (DoD) facility final diagnoses for September 2004 November 2007 and records of hospital emergency department (ED) chief complaints for March 2006 November 2007.
In addition, histone modification ChIP-chip datasets were normalized with respect to histone density (based on averaged H3 and H2B levels) and with rabbit IgG control datasets by dividing the final composite median data for each ChIP-chip assay with histone density or IgG data on a tile by tile basis.
In addition, some histone modifications and open chromatin datasets were obtained from the ENCODE project [ 31] (Table 1).
While the large expression datasets were highly correlated (e.g., "Genetic Modification" and "Organism Part, R = 0.81), they were much less correlated with the high-resolution data (e.g., "Root Cells" and "Genetic Modification", R = 0.30).
Iterative comparisons of different microarray datasets were done with MAS 5.0 comparison analysis as previously described with modifications [ 48].
Datasets were divided into modeling and validation datasets.
Two published datasets were used.
Two ROI datasets were created.
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