Sentence examples for score for human from inspiring English sources
The highest score for human and rat or mouse genes are reported in the text.
With respect to the relevance of the questions to the given discussion topic, the mean of the score for human-generated questions (2.14) is also higher than of the system-generated questions (1.96) and their difference is not significant.
And although the average H-score and G-score for human antibodies were trending higher than humanized antibodies, when individual sequences were analyzed separate from their group, these scoring methods were not able to clearly distinguish most of the humanized antibodies from fully human antibodies to the same extent as the T20 score.
Base-by-base conservation scores for human bases were downloaded from UCSC Conservation Track [47] which used phastCons [48] to calculate conservation scores across 28 mammalian species.
The full set of all protein pair match scores for human proteins can be downloaded at this link as well as the PPI and NIPP set used in the study.
The distribution of PC1 scores for human samples showed no overlap with PC1 scores for mouse samples, suggesting that PC1 summarizes the variation in expression caused by species differences (Figure S1).
To quantify the relative impact of N-terminal residues and the C-terminus with a single number, we calculated the ratio of standard deviations for the scores for human and mouse TAP at the corresponding positions.
Most of the scores for human and mouse sequences had clear separation; however some amount of overlap remained between human and mouse VH and VK sequences.
We removed the parasite genetic network and hostparasite interactions from our method, and calculated the random walk scores for human genes.
An overlay of HIV-1 on the human proteome shows that the H&S clustering scores for HIV-1 proteins fall within the range of scores for human proteins (Fig. 7).
Next, we calculate pairwise semantic similarity scores for human genes using similarity scores of GO terms and annotations of genes, obtaining a matrix that contains semantic similarity scores between genes.
