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Here we implement statistical learning algorithms to develop structure- and sequence-based models for systematically predicting the effects of mutations in the PR and RT proteins on resistance to each of eight and eleven inhibitors, respectively.
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This paper discusses the logistics network design for end-of-lease computer products recovery by developing a deterministic programming model for systematically managing forward and reverse logistics flows.
The above characterization results also suggest that such prepared samples would provide an ideal model for systematically investigating the surface and interlayer effects on the tribological performance of ZrP nanoplatelets in oils.
Consequently, this work presents a theoretical model for systematically testing pairs of absorbents and refrigerants with respect to key parameters such as the coefficient of performance (COP), the circulation ratio, etc.
In this study, we proposed an effective statistical model for systematically analyzing transcriptome-sampling data.
To further understand this involvement, we needed to develop an appropriate vertebrate model for systematically studying the effects of ribosomal defects.
Previous studies take selection into predefined roles as the default model for systematically acquiring new members, consequently regarding incompletely predefined roles and other apparent departures from selection as idiosyncratic (Miner, 1987) or even irrational (Khurana, 2004).
Although several plant TFNs are well known, the framework for systematically modeling complex characteristics such as switch-like behavior, oscillations, and homeostasis that emerge from them remain elusive.
To provide PBL educators with a systematic conceptual framework for designing PBL problems, Hung (2006) introduced the 3C3R model as a conceptual framework for systematically designing PBL problems.
We have previously described the establishment of a unique model system for systematically studying the consequences of aneuploidy on the cellular transcriptome.
Taken together, these analyses support zebrafish as an ideal model organism for systematically studying the roles of the SET domain genes during development.
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