However, conventional ICA-based approaches cannot be used for underdetermined cases, where the number of sensors is less than the number of sources, and sparseness-based methods are highly dependent on the sparsity of the mixing signals.
As the majority of these ORFs have no homologs with characterized sequence or protein structure, traditional sequence-based approaches cannot be applied to deduce their biological function.
Using RNA-seq shoreadsadirectlythe, the functional profile of an organism can be reconstructed in a computationally efficient way to provide a draft annotation in cases where the classical genome-based approaches cannot be applied.
In this case traditional, probability based approaches cannot produce reliable results, as there is a lack of information and experts are unlikely to agree upon probabilities.
14, 15 Unlike randomized controlled trials, propensity score based approaches cannot adjust for confounder imbalance in baseline characteristics that have not been recorded.
Traditional botnet detection (e.g., signature, anomaly or flow based) approaches cannot effectively detect modern botnets.
Finally, most BN based approaches cannot directly relate simulation time steps to physiologic time intervals.
The fluctuation approach cannot be used arbitrarily close to the solvent's critical point, since it is based on the assumption of a finite solvent compressibility.
