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This approach defines mechanisms of drug resistance, allowing rational design of combination therapies for cancer.
This approach defines the working state space X as the concatenation of the positions of all NT targets as X = [ x 1, x 2... x N T ].
Markov random fields are often used in image processing applications, because this approach defines a model for describing the correlation among neighboring pixels [15].
This approach defines the risk level of the segments; thus, decision makers (DMs) could select the appropriate segments according to their acceptable risk levels.
This approach defines a high level of abstraction from the underlying data structures and frees modelers from issues of optimized implementation and parallelization.
A less arbitrary variant on this approach defines the cut-off in order to produce a high specificity among an unexposed population and then increases the calculated prevalence of infection by a factor derived from the observed sensitivity of the chosen cut-off in a population of patients with proven tuberculosis, who must therefore already have tuberculous infection [12].
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Rogers takes this approach, defining the state of a process as the set of properties of the process at a given time.
It investigates the physics of this approach, defined as a promising method that can provide further information to classical acoustic emission technique.
However, only two groups of M. tuberculosis isolates have been described with this approach, defined by the presence or absence of the TB-specific region, TbD1 (13 ).
Thus, overall, this approach defined 22 gene classes: the twenty original classes, as well as classes of unclassified genes (related to unclassified diseases) and multi-class disease genes (genes related to diseases that belong to multiple classes).
This approach defined a Tm of 332.5 ± 1.9 K, which agreed fairly well with the values determined using DSC (Tm = 334.6 ± 0.1 K, Fig. S4, Supplementary materials and methods) and far-UV CD spectroscopy (Tm = 334.4 ± 0.1 K, Fig. 6B inset).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com