All slope-related spatial information (vector or raster dataset) was integrated in the system, by dividing the study area into slope units and assuming the initial slip to be the lower part of an ellipsoid.
The 2.1 Å native dataset was integrated and indexed to C 2 2 21 using XDS (Kabsch, 2010) and scaled and merged using XSCALE (Kabsch, 2010).
Finally, 7090 genes, including the genes in the core dataset, were integrated together as a most comprehensive IQ-associated gene list.
Cancer proteins (tumor suppressor protein (TSP) or oncoprotein (OCP)) of the learning dataset were integrated from Institute of Biopharmaceutical Sciences of Taiwan National Yang Ming University, Tumor Associated Gene (TAG, http://www.binfo.ncku.edu.tw/TAG/GeneDoc.php) database [ 13], and Memorial Sloan-Kettering Cancer Center (MSKCC, http://cbio.mskcc.org/research/cancergenomics/index.html).html
By doing so, information embedded in other datasets is integrated into the network construction, while the effective search space of potential regulators is significantly reduced.
All datasets were integrated into a Geographic Information System.
For this experiment, eight list datasets were integrated.
It was demonstrated that the expression profiles had higher specificity after datasets were integrated.
The native and SAD datasets were integrated with MOSFLM [ 33] and scaled with SCALA [ 34].
> -wrap-foot> The source datasets were integrated to form a combined Ondex Saccharomyces knowledge network.
