Sentence examples for by generating a null from inspiring English sources

Loci with FST values that fell outside the 99th quantiles threshold were obtained by generating a null distribution of FST-values based on 50,000 simulated loci with a mean FST equivalent to 'neutral' mean FST of empirical distribution, which was obtained by trimming the 30% highest and lowest FST values.

This study has directly addressed the importance of Prokr2 signalling in this process, by generating a null mutation.

Here, we further investigate the functions of protein phosphatases in A. fumigatus by generating a null mutant collection for the phosphatase catalytic subunit encoding genes.

We assess the significance of this observed percentage of intradomain triples by generating a null model with 100 shuffled topological domain decompositions for each chromosome (Methods).

The empirical approach unbiasedly utilises the methylation data to statistically assess clonal relationship by generating a null distribution of log-ratios representing the non-recurrence population, without making pre-assumptions about the likelihood of recurrence.

When protein reference sets are unavailable, it is standard to compute error estimates by generating a null distribution of scores, and using the ratio of the areas of null and true distributions at scores ≥ s as an estimate of the FDR at score threshold s.

To decipher the different roles of Rfx6, we generated a conditional knockout mouse by flanking exon 3, which encodes a part of the DNA binding domain, by two loxP sites, generating a null allele.

We compare our approach with that of applying the hypergeometric test alone, which assumes that the null distribution is hypergeometric, or of generating a null distribution by random permutations at the SNP and the gene levels, which does not take full account of genomic architecture.

We assessed statistical significance via randomization by generating an empirical null distribution (no-auto-correlation) based on 10,000 permutations of the regional assignment in original data [ 34].

We assessed statistical significance via randomization by generating an empirical null distribution (no-auto-correlation) given by generating 10,000 artificial time series by permuting regions of the original data.

By generating a set of 1000 null models of the whole PPI_lt_U_PCCM network, in which all the interactions were randomly rewired but each node preserved exactly the same degree of connectivity (Maslov & Sneppen, 2002), we determined that inter-compartment interactions occur far more frequently than expected by chance (P<0.001) between proteins from adjacent neighbor compartments.