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Different color specific components in the VEP have been identified using various stimulation modes.
Several genes up-regulated during Al exposure have been identified using various molecular approaches [ 18- 22].
To date, six genes associated with high risk (BRCA1, BRCA2, TP53, PTEN, STK11 and CDH1), four associated with modest risk (PALB2, BRIP1, ATM and CHEK2) and six lower penetrance alleles (CASP8, FGFR2, TOX3, MAP3K1, LSP1 and 8q24 rs13281615) have been identified using various approaches [ 1- 5].
Although some potential biomarkers have been identified using various approaches spanning genomics, proteomics, and metabolomics, greater in-depth bioinformatics utilization will be pivotal in identifying the connections between these molecular signatures or pathways and in linking the data between "omics" technologies.
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A wide range of metabolites were identified using various two-dimensional (2D -NMR techniques.
The hexapod assembly model was identified using various band-limited test signals such as chirp, white Gaussian noise, and pseudorandom binary signals.
The schedule and cost estimation are simulated as a discrete event process, an alternative T&I process is evaluated, and the optimum T&I plan (with respect to the shortest duration or the lowest cost) is identified using various techniques.
Potential nicotine-dependent (ND) biomarkers were identified using various statistical methods (Table 1).
Metabolites that changed due to diclofenac treatment were identified using various multivariate comparisons.
The total numbers of genes that were identified using various combinations of selection tools are listed.
A total of 26 aminoacyl tRNA synthetases were identified using various computational and bioinformatics tools.
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