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The latter data were proposed by the group to be more accountable for the relative expression level of every transcript and therefore complementary to the figures given by De Risi's analyses.
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One of the most accurate approaches to driver identification, for naturalistic data, was proposed by Enev et al. [15].
Hence, in this paper first, a clustering method for categorical data is proposed by fusing rough set and fuzzy set theories.
Another method that, similar to the NMF method, only uses expression data, was proposed by Le et al. (2010).
Recently, a model-based clustering method specifically designed for RNA-seq data was proposed by Si et al. [ 12].
The first simulated data was proposed by Morris et al. (2005) and Coombes et al. (2005) and is available for download at Simulated Proteomics Spectra (2005).
An economical strategy for storing chemical kinetics data is proposed here by fitting results obtained from ISAT with artificial neural networks (ANN).
To compensate for these image formation issues, in our investigation two data normalization schemes, that were proposed by Stockman and Gevers [33] (see Eq. 10) and Montoliu et al [34] (see Eq. 11) were investigated.
A model for the BDD crystal structure, based on X-ray and Raman data, is proposed and confirmed by density functional theoretical calculation.
It is therefore important that alternatives to traditional methods for collecting, storing and using biomedical and social research data are proposed and consequently exposed to scrutiny by information security experts, researchers and interested members of the general community, alike.
Protocols that are using masking for aggregating data have been proposed by [9, 10, 18].
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