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To further assess model performance on a per target basis, we generated 10 RF models each one trained on a different subset of the whole dataset.
To test this on a genome-wide basis, we generated a correlation heat-map ordered by gene density instead of genomic position.
To compare the funds received for various purposes on relative basis, we generated another indicator- the total grant received per calendar year.
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We compared the CW method reported in [1] and PEC by applying them to Lena image of -pixels and 256 gray levels as shown in Figure 9. CW is a VQ-based method; to conduct comparisons on the same basis, we generate a codebook containing 512 codewords, each represented as -pixel image block.
To visualize directly the cellular basis of OCM, we generated 4D datasets using time-lapsed fluorescence confocal microscopy.
To define the molecular basis for WHIM syndrome, we generated HeLa cell lines that stably expressed either wild-type (WT) CXCR4 or a mutant CXCR4 with a 19 amino acid truncation at the carboxy-terminus.
On the basis of these results we generated HLA-B27/ Chlamydia peptide tetramers.
On the basis of this search we generated our NDVI map using the image obtained on 27 April 2011.
On the basis of these observations, we generated an miRNA-based classifier that could differentiate between normal and malignant tissue in the oral cavity.
On the basis of this search we generated our NDVI map using the image obtained on 18 May 2007 (see Supplemental Material, Figure S1).
On the basis of these criteria, we generated a list of 262 metabolites in negative mode and 194 in positive mode, and the following targeted metabolomics data processing was based on this list.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com