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Additionally, we found that the rate of ATP hydrolysis of the PN species is the same as the rate of the P2N species; this is consistent with our global analysis of repositioning data suggesting that a monomer is responsible for the observed nucleosome repositioning activity.
In light of the difficulty in interpreting nucleosome repositioning data in the absence of information about the stoichiometry with which the remodeler binds the nucleosome substrate, we argue that resolution of these questions would require measuring the nucleosome repositioning activity of ISWI under conditions of known bound stoichiometry and information regarding nucleotide regulation.
The ACIS energy-dependent subpixel event repositioning algorithm requires subpixel shift data as a function of photon energy associated with three different event types, to which each of the good flight grades (FLTGRADE) may be assigned.
The method turns on repositioning the data from the prismatic array to the Latin square array.
With regard to repositioning, these data mentioned only if the patients received repositioning but not the frequency or by whom the repositioning was performed.
The simulated mammograms show a high degree of realism illustrating the utility of the FE method in simulating imaging data of repositioned and compressed breasts.The breast phantoms and the compression software can become a useful resource to the breast imaging research community.
By doing so the data set is repositioned around the origin.
The cuffs were repositioned as needed to acquire data acceptable to the internal sensor of the monitor.
The five data and four surrogate numbers are then repositioned in the original nine-point cube.
By default, data obtained from the data archive and if using the default pix_adj values when reprocessing the data with chandra_repro has the EDSER sub-pixel event repositioning algorithm applied to ACIS data, and no pixel randomization is applied to HRC data.
Here we introduce a novel method to identify repositioned drug for breast cancer by integrating the breast cancer survival data with the drug sensitivity information.
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