Exact(1)
Previously, we proposed the protein complex prediction algorithm that utilizes the bottleneck proteins as partitioning points for detecting the protein complexes, based on this expectation [ 16].
Similar(59)
Fig. 8 Histogram of interval partition points for 80-node networks.
It depends on how data are partitioned and how reference points for each partition are defined (we will henceforth mention partition as cluster for terminology consistency between iDistance and iKernel).
For nodes with multiple paths, the intervals are partitioned at small packet sizes; in the earlier particular example, there are 10 partition points: 25.0, 58.62.92.9, 161.5, 277.4, 365.2, 411.3, 468.5, 545.7, and 546.7.
The partitions point to close interactions between carbohydrate metabolism, lipid metabolism, and citrate-malate cycle for both the un-weighted case and the flux-weighted case.
Using recursive partitioning analysis for finding optimal cut points for miRNA expression, we examined time to first therapy.
Finally, we remark that the start point for partitioning the genes into non-overlapping blocks has little effect on the analysis presented above because of the way we calculate the mean coexpression value of genes within a block.
The indicator (B_{i}) in (15) has a value of 1 when the new evaluation point for partition i is within the trust region of the last evaluation point or when the Newton is already converged for partition i.
The 'All Positions' column gives the percentage of non-conservative pairs relative to each property partition over all alignment positions and serves as the background reference point for each partition and the significance calculation.
In the first step, a hierarchical method should determine a candidate number of clusters, a starting point for the iterative partitioning analysis and should identify outliers that may be eliminated from further analysis.
Two Pearson correlation analyses of pairwise distances were conducted at each shortening step: 1) correlation of the ML and uncorrected p distances for partition B and 2) correlation of the ML distances for partition A and B. The stopping point for site removal was determined as the point at which the two correlations showed a significant improvement (Goremykin et al. 2010).
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