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Careful analysis of these features may shed light on the atomic structure and behavior of nanocrystals, particularly those of the surface shell.
The analysis of these features facilitates the determination of possible stability points associated with optical binding, and the identification of other, anisotropic features revealing the operation of local forces and torques.
Further analysis of these features was performed by electron microscopy (Fig 1G).
Analysis of these features shows them to be reliable additional prognostic tools for predicting the long-term outcome of early breast cancers [ 2- 4].
Combining thorough analysis of these features, in addition to identifying fragmentation of mitochondrial LSU fragmentation in other molluscan bivalves may allow for a more accurate determination of phylogenetic relationships.
Ninety-one gel spots were selected and LC-MS/MS analysis of these features allowed the identification of ten unique proteins in addition to those identified prior to immunodepletion.In the GeLC-MS/MS method, the sample was first fractionated by 1-DE and the protein lane excised into 40 equally spaced gel slices (Fig. 1c).
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It is expected that further analysis of these characteristic features of EST-SSRs in C. japonica will provide useful evolutionary insights.
However, a systematic analysis of all these features side-by-side is needed to evaluate their merits, both individually and in combination, in cancer gene prediction.
Based on an analysis of features, several features based on information theory were also chosen (Faul et al., 2005b).
However, in multivariate analysis, none of these features showed significant interaction with the chemotherapy arm (Additional file 4, Figure S1).
Our approach is distinct in its use of multilevel edge-based features in video partitioning, and in the provision of adaptation by a careful analysis of these multilevel features, based on the notion of shot variability.
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