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The GBS SNP markers of 260 DH lines were analyzed after removing 22 lines with excessive missing data.
Six participants had excessive missing data (85% or more of trials lacked identifiable fixations), so were excluded from all analyses.
Statistical comparisons were not done for 9 of the variables from the questionnaire because of either uniformity of response across all farms or excessive missing data.
If the ZNF sequences for a particular primate had excessive missing data, then the primate was excluded from the study for that ZNF.
However, if weekly questionnaires prove too burdensome for participants and there is excessive missing data, we will consider change in POEM score from baseline to 4 months as our primary outcome.
In addition, approximately 10% of participants were excluded from the public use data file, either because of excessive missing data on drug use or because they were excluded at random in order to increase anonymity.
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A total of 73 markers (13.5%) were excluded from linkage analysis due to excessive heterozygosity, missing data, skewed segregation or ambiguity.
Variables with excessive rates of missing data (60 or more) were excluded from the analyses.
Alignments were trimmed manually or with trimAl 1.2 [ 79] using the automated1 setting to remove regions with an excessive amount of missing data or poorly aligned regions.
Protein sequences that passed these selection criteria were aligned using MUSCLE with default parameters (version 3.8.31; Edgar 2004) and trimmed using trimAl (version 1.2rev59; Capella-Gutiérrez et al. 2009) with the setting "automated1" to remove regions with an excessive amount of missing data or poorly aligned regions.
Although some SFPs apparently followed such a behavior, we did not attempt to resolve these cases because the putative clusters would be too close to each other therefore resulting in an unacceptable separation statistics and therefore an excessive number of missing data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com