Sentence examples for based on microarray gene from inspiring English sources

The BN+1 method expands a top Bayesian network by adding one gene at a time and running it iteratively based on microarray gene expression data.

(A) Box plot for the expression of Ninj1 in the lung specimens of normal and IPF patients (n = 37) based on microarray gene expression data, GSE53845.

Two real world applications are studied: (1) the holistic recognition (i.e., recognition without segmentation) of touching handwritten numeral pairs and (2) the classification of cancer tissue types based on microarray gene expression data.

In this study, we strictly followed the definition and methodology of CID described in Hsiao and Liu (2016) and focus on utilizing the CID in measuring the magnitude of association in general between genes based on microarray gene expression data.

Bayesian networks can be used to expand a pathway network based on microarray gene expression data.

We have developed a systems biology-based approach by using either combined gene sets and the protein interaction network (Method A) or the protein network alone (Method B) to identify common prognostic genes based on microarray gene expression data of glioblastoma multiforme and compared with differential gene expression clustering (Method C).

Based on microarray analysis, genes involved in abiotic stress responses have been identified and categorized into two types according to the protein they code for [ 14].

The determination of microarray study specific gene classifiers has lead to the proposed identification of various CFS reporter genes, based on microarray analysis of gene expression [3] [10].

The categorization of putative Abf1 targets as "memory effect" or "responsive" genes was based on microarray analysis of gene expression using the abf1 -1 ts mutant in a W303 background (Rhode et al. 1992; Yarragudi et al. 2007).

For example, in breast cancer, recent studies that are mainly based on microarray-based gene expression data and unbiased hierarchical clustering have identified several molecular subtypes: basal-like, ErbB2+, normal breast-like, luminal subtype A, and luminal subtype B [ 16, 17].

Subsequent filtering based on microarray-derived gene expression profiles, based on a model in which these three TFs serve as activators of gene expression, was used to choose candidates for in vivo testing.