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These discrepancies in the prognostic role of EGFR-1 may be related to different technical methods used, different antibodies tested, different cutoff values considered, major differences in the rate of EGFR-1-positive cases ranging between 13 and 82%.

The use of the same #min is questionable given that the three methods used different number of samples in the background model (N=20 in ViBe, N=35 in PBAS, and N=35 or 50 in SuBSENSE).

For example, the two ChIP methods used different antibodies for immunoprecipitation (chicken anti-HLH versus donkey anti-GFP) that likely cross-react differently with chromatin proteins resulting in very different non-specific background binding sites.

Both methods used different fuel loading estimates and emission factors.

Depending on the gene segments or genomes and the tree-building methods used, different phylogenetic hypotheses can be obtained.

Although we have no clear explanation for these discrepancies, it is of note that the two mapping methods used different DNA sequences to define the same marker.

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Different methods use different criteria to characterize their sources.

The independence of methods means two things: First, the methods use different physical processes.

However, there is no comparative study that investigates the different methods using different sample sizes.

However, these methods use different polymers and this may confound a comparison of results.

Section 3 discusses various adaptive sparse channel estimation methods using different LMS-based algorithms.

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