To flesh out an example of the cue similarity hypothesis, consider the issue of prey responses to novel predators.
The problem can be grasped intuitively when considering a hypothesis test of 10,000 genes (or, in this case, tags).
We can consider a Null Hypothesis of no correlation between the rankings S and (V^{(1)}), in which the metric (P S,V^{(1)})) has an expected value of zero.
Next, consider a general linear hypothesis of the form H 0 : H β = 0 versus H A : H β ≠ 0 (11).
Consider also that, to evaluate a hypothesis of the form e 1, …, e n → P, one must perform experiments in which only e 1, …, e n hold, to see whether P occurs or not (plus other control experiments in which some of the antecedent conditions are varied).
Indeed, one can consider a type of multiple-hit hypothesis for the impact of multiple risk factors targeting the brain.
Standard DNA marker-based approaches to mapping genes that influence complex traits typically consider a limited number of hypotheses.
Our genetic analysis, however, groups Sudan isolates 1 and 2 within the Congo basin clade; therefore, we consider the hypothesis of an indigenously acquired infection to be unlikely.
Since you are an expert in RNA functions, we are very happy that you consider our hypothesis of NKILA possibly affecting PMEPA1 function to be a realistic possibility.
Alternatively, we should consider the hypothesis of different migration patterns at low vs high altitudes: a higher level of seed flow between districts at high altitudes than at low altitudes.
