In our observation, six prominent methods of evaluation of biometric quality metrics persist in literature apart from evaluation using MOS: Correlation analysis: As noted by[4], a biometric quality metric must be a good classifier performance predictor.
Second, there have been two prominent methods of constructing linear models of medical judgements, each with their own literature and set of advocates.
There are two prominent methods of constructing such models of medical judgements, each with their own literature and set of advocates.
This problem is particularly important in the field of phylogeny reconstruction, because multiple alignment acts as a preprocessing step in most prominent methods of inferring a phylogenetic tree of sequences.
Moreover, we employed two of the most prominent methods of differential gene expression analysis, differential display reverse transcriptase polymerase chain reaction (DD-RT-PCR) and DNA microarrays, in a search of pathways involved in SF activation and disease pathogenesis.
Ultrasound or sonography is widely used in medicine, and has several advantages compared to other prominent methods of imaging including portability, low cost, the absence of harmful ionizing radiation, the provision of images in real-time, no discomfort or long-term side effects to the participant, and widely available equipment.
In order to decipher the pathogenic mechanisms that govern SF activation and pathogenic potential, we used the two most prominent methods of differential gene expression analysis, differential display and DNA microarrays, in a search for deregulated cellular pathways in the arthritogenic SF.
While official methods have been reported for the determination of each of these drugs alone in their formulations [4], the most prominent method for simultaneous determination of PA, MP, PP, CH, and PS is the HPLC, GC-MS or LC-MS [5 11].
The algorithm is based on genetic algorithm (GA), which is a prominent method to solve this type of problems.
Scenario planning is stated to be the 'most prominent method for exploring the uncertainty of the future' [24] and is often used in projects dealing with long time frames and high uncertainties [14].
