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A similar approach has recently been used on human data to identify three principal components of human sleep that involved 1) sleep duration, 2) NREM intensity and 3) sleep continuity [11].
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Model comparison could be used on human behavioral data to determine if subsets of subjects show such patterns of discounting.
The highest value of k was determined by an approach similar to that used on the human data (see Supplementary Material for data).
Long and Langley [14], in a simulation study using parameters based on human data, concluded that "[o]ver the entire parameter space examined in this work and under the simple population genetic model considered, single-marker-based, permutation-based tests are either of similar or greater power than haplotype-based tests".
In this study we explored the use of human data sets on exposure and noncancer end points in the context of an MOE approach to risk assessment for PCDD/PCDFs and toxic equivalent (TEQ)–contributing PCB compounds.
Sequence variants falling in the first three bp or last three bp of an exon, plus intronic variants detected in the vicinity of the splice junction sequences, with allele frequencies <1%, were scored for their potential impact on splicing using MaxEntScan (MES), which computes the maximum entropy score of a given sequence using splice site models trained on human data [ 37].
Table 5 outlines the typical uncertainty factors applied and provides a discussion of the applicability of such factors to a risk assessment based on human data using an internal measure of biologically relevant exposures.
To this end we focused on human data sets and used data published by Chabardes-Garonne et al [26], Higgins et al. [27], Cuellar et al [28], and Nyström et al. [29].
The PSSMs were calculated as described above, using the original NetMHCpan method trained only on human data.
The first analysis involved the distribution of Pfam domains over constitutively and alternatively spliced genes using a similar method as previously performed on human data [ 16].
Re-defined transcript-specific probe sets were used on available microarray data of human renal tissue [9] to predict the expression of individual transcripts.
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