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Gene expression datasets

Ewing RM et al. EST databases as multiconditional gene expression datasets. Pac Symp Biocomput 2000 5 430-432. [Pg.113]

Analysis of Publicly Available Gene Expression Datasets to Identify Conditions in Which a Significant Fraction of Protein Binding Microarray-Derived Target Genes... [Pg.65]

FIGURE 1 Multivariate approaches for omics data integration. (A) The RV coefficient is a correlation measure between datasets that can be used as distance metric. (B) The 02PLS method dissects gene expression and metabolomics datasets for shared and data type-specific variation. (C) The N-way approach accommodates experimental factors in a multidimensional block. Tucker3 is used to study intradataset covariation and NPLS analyzes between-block covariation. Panel (B) Reproduced from Bylesjo et al. (23). Panel (C) Reproduced from Conesa et al. (24). [Pg.449]

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See also in sourсe #XX -- [ Pg.81 ]



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