Considering that the theoretical likelihood for an average gene not being tagged in our study was as low as 0.0011, the fact that we were unable to pinpoint either HVO_2528 or HVO_0817 strongly suggests that these two genes encode overlapping functions and thus complement each other.
Indeed, how can already published data and theoretical likelihood of failure be reconciled?
Indeed, how can the already published data and the theoretical likelihood of failure be conciliated?
The selected cases and controls, matched for age and location and date of hospitalization, were with similar theoretical likelihood of acquiring resistant strain from the environment.
This paper is a theoretical analysis of the maximum likelihood (ML) channel estimator for orthogonal frequency-division multiplexing (OFDM) systems in the presence of unknown interference.
Thus, we do not have a theoretical explanation for why optimizing likelihood under S2+CAT should lead to good supertrees.
From a theoretical point of view, the likelihood function specified by our probabilistic model generalizes a well-known objective called the minimum error correction (MEC).
Furthermore, from a theoretical point of view, normalized likelihood ratio is the measurement we will automatically derive from the calculation of the conditional probability of assigning ambiguous tags to a specific site given the assignments of all the other tags.
From a theoretical point of view, such likelihood-based strategy permits full use of the data, relying explicitly on a model rather than opting for the identification of outliers based on an empirical or simulated distribution of summary statistics [7] [9].
Specifically, such a theoretical performance gives the asymptotic performance of maximum likelihood (ML) estimators achievable for large SNRs or long observation times [36].
The Elaboration Likelihood Model (ELM) is used as a theoretical framework to explore different information-processing modes that individuals employ in a variety of communication situations.
