Sentence examples for combined microarray data from inspiring English sources

We combined microarray data from 12 studies [5] [17] to compile a table containing gene expression data for 4551 genes upon 45 treatment conditions causing pulmonary pathology.

The second data consisted of a combined microarray data set of four studies taken from the public domain.

We combined microarray data from two additional studies that used the same design in mice with a total of 75 biological replicates.

Further to explore the association of PTEN- with poor outcome, we evaluated the Harrell et al. [ 19] combined microarray data set.

Wang et al. combined microarray data with knowledge on two clinicopathological variables by defining a gene signature only for the subset of patients for whom the clinicopathological variables were not sufficient to predict outcome [ 21].

The combined microarray data from CTCFL-deficient testis and CTCFL-expressing ES cells, and the preference of CTCFL for promoters instead suggest a function as a transcriptional regulator, required for the proper expression of a subset of male germ cell genes.

Development of computational methods to combine microarray data with other information sources is therefore necessary.

Our analysis combines microarray data from three separate studies, each of which profiled gene expression using the same oligonucleotide array platform [ 8, 11, 19].

Combining microarray data from different species and platforms is a challenging task, particularly when sequence information and good annotations are limited.

Herein we present a non-parametric approach for combining microarray data from various studies which does not suffer from the aforementioned limitations.

Two strategies of combining microarray data and HR MAS MR spectra are presented, providing a framework for how information from these different molecular levels can be combined and analyzed.