We tested the performance of our new method for simultaneous estimation of selection intensities in comparison to the independent estimation that does not account for gene overlap (as described in equation 1).
In comparison to the conventional estimation techniques, the simulation method could well reflect the reservoir's intrinsical characteristics in terms of the associated extreme values.
Nevertheless, the sampling error using 20 images was negligible in comparison to the confluency estimation error per image and thus constitutes a reasonable starting point for other conditions.
The OVIS-study used the population-based Cancer Registry of the state Schleswig-Holstein as a data source for recruitment and comparison to the general population (estimation of representativeness).
LSH-Div was evaluated on synthetic datasets, real world datatsets and after a thorough study, we were able to demontrate that LSH-Div is computationally efficient in comparison to the best OTU estimation algorithms.
When estimation and test sets were collected from the different location-year combinations (CVG×L and CVG×Y), accuracies of prediction were consistently lower in comparison to the situation with both estimation and test sets form the same location-year combinations [CVG(L) and CVG(Y)].
We demonstrate that LSH-Div is computationally efficient and also produces meaningful and accurate results in comparison to the state-of-the-art OTU estimation algorithms.
As anyone who regularly watches the show can attest, it is the funniest, the smartest, the wisest, the most affecting and most resonant comedy on television, and the only one, in my estimation, that rates comparison to the classics like "I Love Lucy," "The Honeymooners," "The Mary Tyler Moore Show," "All in the Family" and "Cheers".
Comparison of outcomes after different treatments should be interpreted cautiously owing to biases inherent in the types of study included, and lack of direct comparisons to enable the estimation of relative treatment effect.
