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Arabidopsis thaliana has successfully served as a model to discover genes and proteins that have roles in a wide range of plant traits, including wood-related traits, such as lignin, cellulose and hemicellulose biosynthesis, secondary growth regulation, and secondary cell wall synthesis.
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We further use a topic model to discover emerging areas of the predicted technology convergence.
This study was to develop a kinetic model to discover the true reaction mechanism of MPW pyrolysis experimentally and numerically by applying thermogravimetric analysis (TGA) and Matlab software.
Intrinsically unfolded proteins seem to be a good model to discover strategies for avoiding aggregation, as they are less aggregation prone compared with compact native proteins [199].
With gene expression data and averaged motif frequency matrix of corresponding genes, it is natural to fit a regression model to discover the latent relationship between motifs as variables and expression as response.
Finally, given that studies involving thousands of flat worms can be carried out with minimal cost, the ultimate goal is to develop flat worms into a new model to discover and investigate genes linked to human kidney diseases.
Bing et al. applied a correspondence LDA model to discover microRNA regulated modules by identifying the microRNA and mRNA co-occurring frequently within the same latent variable [ 8].
Then, we apply a random walk model to discover co-targets that are highly likely to affect the genes related to the mechanisms of the drug resistance through the main and back-up paths.
Employing a sound machine learning model to discover the best way of combining different features would be expected to yield much improved performance.
The resulting significant factors were entered into a stepwise multiple regression model to discover which factor(s) would become better overall predictors of performance.
First, we used a high level network model to discover basic properties of the network topology and to identify the nodes of the network that are most likely involved in the crosstalk.
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