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Only results based on imputed datasets are presented here as complete case analysis is thought to suffer from more chance variation, and multiple random imputation is assumed to correct any bias.
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Further studies of plant QSOX, including high-resolution structural information, will provide a wider view of QSOX evolution and correct any biases acquired by a focus on metazoan and parasite representatives of the family.
Of the two biological replicates one was always performed as a dye-swap in order to correct any dye bias.
After removing orange G, the sidechain torsion of KLVFFA was optimized to correct any conformational bias from the presence of orange G, and then the optimized structure were inspected to ensure that sidechain torsions are still within the original conformation of the co-crystal structure.
MORI now also tells its interviewers to meet specific targets for the number of owner-occupiers and council tenants which they interview.By contrast, NOP is placing its faith in being able to correct any pro-Labour bias by manipulating its samples statistically after interviewing is completed.
The GRO data were normalized subtracting to each value the difference between the GRO and RPCC lowess smoothers in order to correct any probe length bias.
To correct for any bias due to the separation of pre- and post-treatment samples on unique TMAs, AQUA results for the matched tissue samples on each TMA were median normalised prior to analysis of significance by the Wilcoxon matched-pairs test.
Due to the fact that each of the RNA data sets has a differing number of mutants, the bootstrapping is done by sampling 20 mutants from each of the other data sets besides FTL, in order to correct for any bias that might come up due to one program/metric favoring one data set over another.
12 Cognitive interventions aim to correct erroneous beliefs (eg, belief that they have control over luck), by using techniques such as cognitive restructuring to correct any cognitive distortions and biases.
Much like a B-Corp certification for companies, these external audits would show that one's company is doing the right thing and course-correct any biases.
The principle of sequence census methods is simple: (i) use biochemical processes to convert a question of interest into a pool of DNA molecules, (ii) "count" this pool with NGS, (iii) statistically correct for any biases in the conversion and sequencing, and (iv) analyze the corrected counts to answer the question.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com