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Human primary fibroblasts were cultured on the matrix to examine its potential for creating a dermal replacement.
In this paper, we assume a Markov chain based stochastic model with the unit step transition probability matrix to examine the functioning and properties of space-division switches.
The resulting data matrix (TreeBASE: M3532) was analyzed and compared with original data matrix to examine effects of RNA editing.
Such analysis is preceded by the presentation of a correlation matrix to examine the descriptive strength of bivariate associations.
Next, we used the stem cell matrix to examine whether the hDiffModule could be used to evaluate the differentiation potential among different cell types.
Because all of the survey items had ordinal responses, we estimated a polychoric correlation (covariance matrix) to examine the association between the variables.
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In addition to biocompatibility studies, the unidirectional aligned collagen dragline silk composite fibers were applied as a matrix to examining the stem cell differentiation.
Additionally, the Consistency Ratio (CR) can be computed from the matrices to examine whether the participants' answers are random.
From NSCLC expression data derived from the expO datasets we created similar matrices to examine correlations between individual genes.
We also created Excel matrices to examine variations in subthemes by country and participant type.
The present study extends these promising findings, using a dose dose matrix design to examine Chl-mediated effects on dibenzo(def,p chrysene (DBC -induced DBC -inducedormation, tumor inciDNAce, tumor multiplicity, adductanges in gene regulation in the trout.
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