Prospective studies often involve rare events as study outcomes, and a primary concern is to identify risk factors and risk groups associated with the outcomes. We discuss practical solutions to risk factor analyses in prospective studies and address strategies to determine tree structures, to estim
Spectral analysis and a closest tree method for genetic sequences
✍ Scribed by M.A. Steel; M.D. Hendy; L.A. Székely; P.L. Erdös
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 288 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0893-9659
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✦ Synopsis
We describe a new method for estimating the evolntionary tree linking a collection of species from their aligned four-state genetic sequences. This method, which can be adapted to provide a branch-and-bound algorithm, is statistically consistent provided the sequences have evolved according to a standard stochastic model of nucleotide mutation. Our approach exploits a recent group-theoretic description of this model.
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