Sentence examples for leukemia gene expression data from inspiring English sources

The statistical significance of the association between each of the MSigDB C2 gene sets and each of the first 3 PCs of the standardized leukemia gene expression data was computed using all supported tests described in Section " Gene set statistical significance" with 10,000 permutations for the permutation tests.

The Armstrong et al. [ 40] leukemia gene expression data can be downloaded from http://www.broadinstitute.org/gsea/datasets.jsp.jsp

The MSigDB C2 v4.0 cancer modules and collapsed leukemia gene expression data were both downloaded from the MSigDB repository.

The purpose of the present study was to design a committee neural networks based classification systems to subcategorize leukemia gene expression data.

Similar to testing on the C2 gene sets and p53 data, optimization was performed using the MSigDB C4 v4.0 cancer modules and collapsed leukemia gene expression data downloaded from the MSigDB repository.

The EMVC algorithm was also used to optimize the MSigDB C4 v4.0 cancer modules for the leukemia gene expression data (Armstrong et al., 2002) used in the 2005 GSEA paper (Subramanian et al., 2005).

The present study represents an application of committee neural networks for leukemia classification using microarray gene expression data.

"Patient AB is a 5 year old boy just diagnosed with acute lymphoblastic leukemia, while immunophenotype and gene expression data as well as clinical data at the time of diagnosis are known.

We use microarray gene expression data for leukemia, lung, prostate, lymphoma, and breast cancers.

We tackle this issue from an empirical perspective, using exemplary studies on the prediction of survival in leukemia patients which use high-dimensional gene expression data.

Furthermore, gene expression data from leukemia cell lines treated with anti-leukemic agent Imatinib, shows a significant downregulation of SPATS2L (Additional file 8).