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A stepwise tree searching strategy that combines independent multiple starting points and efficient algorithms designed for escaping local optima was used to insure sufficient sampling of tree space.
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Starting trees were obtained via stepwise addition, tree bisection reconnection branch swapping, steepest descent, and with the MulTrees and Collapse options in effect, as well as no upper limit for the number of trees held in memory.
A recombination analysis method based on stepwise phylogenetic tree construction using the programs SEQBOOT, DNADIST, NEIGHBOR, and CONSENSE in the Phylip package was first brought out by Simmonds, 2005 [18].
We expanded a stepwise decision tree to assess the likelihood of NMDR relationships reported.
Lastly, the developed stepwise decision tree is applied to a case study focused on BPA in vivo studies showing NMDR.
Then, a stepwise decision tree was developed as a tool to standardize analysis for data reliability of observed in vivo NMDR relationships for risk assessment.
A stepwise decision tree was developed to assess whether observed NMDR profiles for EDCs could be used in the context of risk assessment.
A stepwise decision tree was developed as a tool to standardize the analysis of NMDR relationships observed in the literature with the final aim to use these results in a Risk Assessment purpose.
To consider all criteria in a systematic way, the stepwise decision tree previously described in the Material and Methods section was applied to each selected NMDR profile reported for 10 BPA in vivo studies reporting NMDR curves.
Heuristic searches were conducted with 1000 replicates of random addition, 10 trees held at each step during stepwise addition, tree-bisection-reconnection (TBR) branch-swapping, and deepest descent option in effect.
To estimate the most likely topology for ML and MP methodologies, heuristic searches (10 replicates) started with stepwise addition trees, with each replicate beginning with a random order of sequences.
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CEO of Professional Science Editing for Scientists @ prosciediting.com