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Due to the variability in the size of peptides in both libraries, where size is a simple heavy atom count (HAC), and a systematic bias in the scoring functions (including OEChemscore), [47, 48] we employed a simple size-independent metric to rank peptides and select the best binders.
Twin pairs were separated into two assessment sessions, with the second session being assessed at least one month after the first to minimize possible bias in the scoring of the twin seen second.
Twin sister assessments were made either side of the British subject assessments and were separated by approximately 4 months to minimize any bias in the scoring of the twin assessed second.
Plants were randomized and coded to reduce potential bias in the scoring of fungal colonization and growth.
We describe here a correction that eliminates this bias in the scoring metrics, separating the effects of the similarity scoring from the annotation bias.
The 95% confidence intervals for the mean do not include zero (2.18 8.42), reflecting a small systematic bias in the scoring (P=0.001).
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Given the systematic bias in the score-ranked results, they were not considered for interaction analysis.
In a second step, to avoid possible bias in the score, we empirically test the JACS significance using only expression similarity scores.
This correction aims to normalize the scores with respect to existing literature annotation, correcting for inherent biases in the scoring methods and revealing associations that are due to the similarity of annotation rather than the amount of annotation (the research "popularity" of the entity).
Blinded assessment, where appropriate, minimises any bias in the qualitative scoring of subjective experimental observations, improving the rigour of the experimental method and the scientific validity of the results obtained, and yet blinding is rarely reported as being performed [3].
This could have caused some bias in the histological scores or golden standard.
More suggestions(16)
bias in the score
bias in the rating
bias in the outcomes
bias in the effect
bias in the cDNA
bias in the workplace
bias in the case
bias in the blogosphere
bias in the community
bias in the text
bias in the language
bias in the consumer
bias in the sample
bias in the subsample
bias in the context
bias in the election
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