Sentence examples for benchmark gene expression data from inspiring English sources

The method was empirically applied to a suite of ten well-known benchmark gene expression data sets.

By using six benchmark microarray gene expression data sets, we compared Recursive Feature Addition with recently developed gene selection methods: Support Vector Machine Recursive Feature Elimination, Leave-One-Out Calculation Sequential Forward Selection and several others.

To assess our algorithm, we applied SIREN to three benchmark GRNs with associated gene expression data (Additional file 2).

Benchmark dose (BMD) analysis on gene expression data revealed that Nrf2-mediated antioxidant response and protein ubiquitination were the most sensitive biological pathways that were activated in response to low concentrations of HOCl (< 0.35 mM).

We benchmarked the method on the gene expression data of soybean.

First, the collection of seven pairs of related but independent gene expression datasets can be used for benchmarking analysis of any methods based on gene expression data.

In the first case study, we consider in silico gene expression data generated from a benchmark artificial 5-gene network model.

The colon dataset 14 is an other benchmark dataset, frequently used for testing different methods on gene expression data.

In this study, we implemented Friedman's score metrics for DBNs by our algorithm, and applied the algorithm in reconstruction GRNs using both synthetic time series gene expression data and a real yeast benchmark dataset.

Gene expression data can provide only indirect evidence of gene function.

A step to more realistic benchmark data was made in 2003 [ 28], generating simulated gene expression data using equations based on enzyme kinetics (for use of these data in method evaluations, see e.g. [ 8, 29]).