Introduction to Computational Biology Lecture # 4: Sequence Alignment - Significance
نویسنده
چکیده
In case a. we mentioned the lemma of Neyman & Pearson, and using log ratio statistics. In this case we have to estimate which of the two suggested hypotheses is true (which one is more likely). In case b. we have one hypothesis H0 and we have to estimate if it is true or not. In science, usually the null hypothesis H0 says the dull regular conception that everyone goes by, and the scientist wishes to disprove it, and create an interesting innovating idea. although the main point is to disprove (or sadly approve) H0, sometimes the examiner defines an alternative hypothesis H1, usually defined closely as not H0.
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