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Total counts from each reconstructed AC SC SPECT dataset series were divided by T to yield the observed AC SC SPECT counting rate (RSo).
Given that tumor aggressiveness has been linked with EMT ([ 51], reviewed in [ 52]) we examined the expression of MYB in a publically available microarray dataset series of human breast tumors [ 50] and observed that MYB expression was generally high in Luminal A and Normal-like tumors but dramatically lower in Basal and Her2 + tumors.
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Inspired by such successes, we searched NCBI Gene Expression Omnibus [ 25] for experiments performed on the strain MR-1 and found three such datasets, series GSE3876, GSE4489, and GSE7973.
The standard applies to all geographic data–– it is applicable to datasets in series, datasets, individual geographic features, and their attributes.
The RMSE of 35 tests (5 datasets, 7 series in each dataset) are shown in Table 2.
For each simulated dataset a series of models (Poisson, negative binomial and zero-inflated Poisson) were fit.
To test the relative weight of each locus to the combined dataset, a series of analyses were run excluding a single gene at a time.
For each permuted dataset, a series of networks were constructed with the same thresholds used to build the real-data networks.
From the initial gene expression datasets, the series of observations with missing values are eliminated to create a Reference matrix.
To simulate similar datasets, a series of subsets of Uniref50, SwissProt, and TrEMBL is constructed by taking nine of their ten equal-size partitions randomly at a time.
In Figure 10b, SVD prefers mixed type datasets but not time series datasets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com