Application of bi-clustering of gene expression data and gene set enrichment analysis methods to identify potentially disease causing nanomaterials.

ABSTRACT: This article contains data related to the research article 'Application of bi-clustering of gene expression data and gene set enrichment analysis methods to identify potentially disease causing nanomaterials' (Williams and Halappanavar, 2015) [1]. The presence of diverse types of nanomaterials (NMs) in commerce has grown significantly in the past decade and as a result, human exposure to these materials in the environment is inevitable. The traditional toxicity testing approaches that are reliant on animals are both time- and cost- intensive; employing which, it is not possible to complete the challenging task of safety assessment of NMs currently on the market in a timely manner. Thus, there is an urgent need for comprehensive understanding of the biological behavior of NMs, and ef

SUBMITTER: Williams A 

PROVIDER: S-EPMC5683856 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature