Sentence examples for may further bias from inspiring English sources
In addition, as genes are not equally covered throughout the array through the number of probes in their specific regions, this may further bias this analysis.
True positive should also be added to the training corpus, but including all true positives may further bias a potentially biased model.
While sampling was purposive, due in part to feasibility issues, more providers than patients participated in sorting and rating which may further bias our findings more towards a provider perspective.
Finally, the fragmentation of most large published genomes into thousands of scaffolds (for example, the Ae. aegypti genome is composed of 4,768 supercontigs) may further bias the estimation of the number of fragments amplified.
The false positives and false negatives were fed back, but only a randomly selected fraction of true positives and true negatives were fed back into the training corpus, as these may further bias a potentially already biased model.
While additional breast cancer cases drawn from within each cancer families could have been included in our analyses as has been done in previous studies [ 25], this may further bias results due to the founder effects and linkage disequilibrium observed for the tested alleles in this population.
Inflation adjustments may introduce further bias if people rearrange their spending patterns when prices rise unevenly.
Study design or patient selection may introduce further bias factors.
In fact, our dataset may further be biased towards slowly evolving genes under stronger purifying selection if we are capturing mainly highly expressed genes, and those with low K s values.
Moreover, AP MS interaction data are non-binary by nature for any multi-component complex; their conversion to binary pair-interactions is non trivial and relies on processing protocols that may introduce further biases in the final screening output [17], [19].
Second, only persons with diabetes willing to complete the on-line surveys, with less than 10% of ethnic background, were included which may have further biased the outcomes.
