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Introduction of these amino acid properties as biological filters in MI based methods appears to equalise their sensitivity to a similar range of values determined by previous simulation studies of other parametric and highly sensitive methods [ 7].
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Important alternatives to IMM based methods appear in [30],[18, Chapter 10] which propose variable structure multiple model particle filters (VS-MMPF) as an extension of the VS-IMM approaches.
The identification of significantly correlated target gene expressions based on the four used target prediction methods appears to be relatively similar between the datasets.
The CDA tablet-based survey method appears to be feasible and efficient for collecting health and demographic data in the Nouna HDSS in rural Burkina Faso.
In addition to providing inference for a couple of scenarios where Koyama and Chen's method can be difficult to apply, the resulting estimate based on our method appears to have certain advantage in terms of inference properties in many numerical simulations.
Based on both quantitative and qualitative findings, these methods appear to have contributed positively to the outcomes of the intervention.
Based on enrichment tests, the proposed method appears to provide a biologically richer source of information than the analysis based on the ocMOF scores.
Based on these results, our embedding method appears to preserve well-separated ranges of Tanimoto coefficients in a robust manner.
But its methods appear to have remained the same.
Both topology optimization methods appear to be complementary.
In contrast, physical methods appear to produce a low yield.
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