GS contributed to the study concept and design (Gene structure analysis), the data collection (Features of human overlapping genes, Benchmark), the analysis and interpretation of the data, and drafted the manuscript.
Thus, we used the 27 known clock genes as benchmark genes to evaluate a given algorithm in terms of false negatives for analyzing circadian expression data.
Indeed, to verify the efficiency of the proposed method on gene-related data, 8 publically available gene microarray benchmark datasets are analyzed.
All the 7090 candidate genes, including 19 benchmark genes, were sorted by their combined scores.
To calculate the relativities of all 7090 genes, a benchmark dataset including 19 IQ-associated genes with positive evidence was compiled from a classical review (4) (Supplementary File 1).
Marguerat et al. also argue for a relatively small number of cell cycle oscillating genes using benchmark sets of known cell cycle oscillating genes.
Based on the set of 50 median-ranked genes, a benchmark phylogeny was obtained, and we used its topology to infer subspecies classification.
Using a wide variety of classifiers, notable results are achieved in a set of gene expression benchmarking datasets with subsets of extremely low dimensionality.
Seven publicly available microarray-based gene expression benchmarks were used (see in Table 2, where IR is the imbalance ratio) to demonstrate that the proposed framework is potentially capable of selecting the most discriminative candidate genes for phenotype prediction and of finding significant genetic regulation within the selected set of genes.
Both groups have implemented efficient algorithms that have achieved accuracy levels comparable to the most effective state-of-the-art optimization techniques: Using a naïve Bayes network as the base classifier and the UMDA as the search algorithm, Blanco et al. [ 43] achieve competitive results in two gene expression benchmarking datasets.
