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Bootstrap analysis was used to determine the confidence values of phylogenetic tree nodes using 1000 replicates (Felsenstein 1985).
Bootstrap analysis was used to compute the adjusted probability that a human gene was affected in cancer but not in normal ESTs [23], [24].
Bootstrap analysis was used (10,000 random swaps of tumor and control channels) to obtain gene specific p-values and confidence limits for deletion and amplification.
A bootstrap analysis was used to calculate precise confidence intervals.
A bootstrap analysis was used to assess the internal validity of the model.
Bootstrap analysis was used to assess the uncertainty in the assigned hierarchical clustering relationships.
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The bootstrap technique described in section 'Retrospective and bootstrap analysis' is used to generate 10,000 possible total annual insolation sequences.
A similar bootstrapping analysis was used to determine the average PCC values for comparisons between two random genes within these sets, and the significance of the increased correlations (P = 0.010, 0.014 and 0.27 for heat shock, osmotic shock, and menadione treatment respectively).
In phylogeny reconstruction, bootstrapping analysis is used to evaluate tree reliability by resampling columns in a multiple sequence alignment.
For subtyping bootstrapped phylogenetic analysis was used; Bayesian Monte Carlo Marcov Chain (MCMC) model was implemented to infer on the phylogenetic relationships between the serial sequences from patients failing on raltegravir.
Bootstrap analysis was conducted using 1000 bootstrap replicates using seqboot [ 94].
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