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Many of the benchmark genes used to validate expression of the microarray were MYB type transcription factors.
We note that the statistical analysis of three of the benchmark genes fell slightly outside of this range.
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In the ideal situation where predicted clusters perfectly match the benchmark gene sets, the Jaccard index is 1.
Jaccard index [ 17] is used to determine how well the predicted clusters recaptured the benchmark gene sets ((a) GO slim and (b) GO BP FAT).
We selected the optimal weight matrix [4, 1, 1] that gave the 95% benchmark genes the highest rank among the top 5% of all candidate genes.
The L, P, A and S methods each identified at least five out of the seven benchmark genes in the top ranked 100 probe sets; whereas, C identified three of the seven known genes (Figure 1A).
In the first benchmark, genes present in the six search spaces were classified as "candidates" or "non-candidates".
All the 7090 candidate genes, including 19 benchmark genes, were sorted by their combined scores.
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.
The multi-tissue transcriptome included complete homologs to 99% of the Core Eukaryotic Genes (CEGs), and the arthropod benchmarking genes (BUSCO).
Statistical methods, inclusion of benchmark genes, RNA blot analysis and semiquantitative rt-PCR validated expression profiling data.
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