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Compared with the previous methods utilizing fluorescent or bioluminescent reporter genes, our approach utilized a fully 3D modality with high quantitative accuracy and high sensitivity particularly deep within the body.
The approach utilized a high voltage, rapid scan frequency electron beam to independently heat elemental nickel, aluminum and platinum melt pools to create three closely spaced vapor plumes.
This approach utilized a combination of siRNAs targeting expression of host and viral genes.
The third approach utilized a collection of publicly available E. huxleyi ESTs.
One recent approach utilized a microarray representing characterized murine imprinted loci to highlight the tissue specific variability of DMRs [ 27].
KS: The initial CMAP approach utilized a non-parametric, rank-based Kolmogorov-Smirnov (KS) statistic defined as follows.
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One approach utilizes a bank of tunable narrowband bandpass filters.
The proposed approach utilizes a universal algebraic equation for perturbed eigenvalues, previously derived by the authors.
The approach utilizes a neural network that performs a weighted summation of Bernstein polynomial basis functions.
The approach utilizes a four-phase optimization process built around a dynamic, patient-specific gait model.
The approach utilizes a controller structure that decouples the feedforward and the feedback controller.
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