Sentence examples for model expression as from inspiring English sources

Analysis method of data model expression as follows: if the value of log2 FPKM is more than 1, we consider it to be expressed and if the value of log2 FPKM is less than or equal to 1, we consider it not to be expressed (Xu et al. 2016a, b).

The weighted linear regression method [ 12] has the same model expression as the un-weighted linear regression method.

The R package lme4 (Bolker, 2013) was used to fit linear mixed models using maximum likelihood to model expression as a function of genetic interactions.

The 'offset = logw' option in the model statement adds the log of the weights to the log-linear model expression (as in equation A2) and this is included in all analyses to account for the counter-matched sampling design.

In this model, BTG2 expression as well as HER2 expression and patient age were highly significant (P < 0.0001), whereas Ki67 expression displayed a lower significance (P = 0.013).

The input file can include any Data Model expression (see "ahelp dmsyntax") as long as the resulting file is still a table with a ccd_id column.

Besides experimenting with 3D modeling for the background, I hope to capture the emotion and serenity of the models facial expressions, as well as the spiritual aura that floated in Mondrian's mind at that time.

model - the complete convolved model expression to use as the full model; for a list of all available models, see "ahelp models" Obtain the instrument response for default data set id=1 using get_response, and convolve it with the source model of data set 1, a 1-D powerlaw named "pl".

Normally i.e., when set_source is used to define a source model expression the model to be used as the PSF convolution model must be defined as such with the set_psf command; however, it is not necessary in this case since we are manually defining the full source model expression using the set_full_model functionality, as shown in the next section of this thread.

To determine whether 25(OH D or IFNB-1b was associated with gene expression, generalized linear models were used to model gene expression as a function of 25(OH D levels, or IFNB-1b, adjusting for age, sex, treatment at the time of 25(OH D measurement, and the interaction of 25(OH D level and IFNB-1b.

We computationally model emotion expression as a combined process of estimating others' beliefs through inference inversion and then producing nonverbal expressions to affect those beliefs.