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More Motifs WMM, log odds scores, Neyman-Pearson, background; - PowerPoint PPT Presentation

More Motifs WMM, log odds scores, Neyman-Pearson, background; Greedy & EM for motif discovery Talks this week Tue, 3:30 EE-105, Me The Search for Non-Coding RNA Wed, 1:30 K-069, Zasha Weinberg something similar...


  1. More Motifs WMM, log odds scores, Neyman-Pearson, background; Greedy & EM for motif discovery

  2. Talks this week • Tue, 3:30 EE-105, Me “ The Search for Non-Coding RNA” • Wed, 1:30 K-069, Zasha Weinberg “something similar...”

  3. Neyman-Pearson • Given a sample x1, x2, ..., xn, from a distribution f(Theta; ...) with parameter Theta, want to test hypothesis Theta = theta1 vs Theta=theta2. • Might as well look at likelihood ratio f(theta1; x1, x2,...xn)/f(theta2; x1, x2,...xn) > tau

  4. What’s best WMM? • Given 20 sequences s1, s2, ... of length 8, assumed to be generated at random according to a WMM defined by 8 x (4-1) parameters theta, what’s the best theta? • E.g., what MLE for theta given data s1, s2...? • Answer: count frequencies per position.

  5. ATG ATG ATG ATG ATG GTG GTG TTG

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