With 169 participants, and a within participants design, with some stimulus sets the most frequent classification was produced over 50 times and with others not more than two or three times.
However, the most frequent classification on solar cooking systems distinguishes between direct and indirect systems [3].
The prevalence of cutaneous allodynia was 92% (n=11) in the women's group and 77% (n=8) in the men's group; severe and mild allodynia were the most frequent classification respectively (Fig. 1).
The most frequent classification as per MedDRA system organ class (Table 4) for serious adverse events were cardiac disorders (24.4 vs. 25.7%; p = n.s).s
To capture patient-level clustering, when a patient provided more than one result to any FRR estimate, the most frequent classification was used.
Short ORF length represents a notorious problem to alignment algorithms resulting in low match scores, and consequently, a more frequent classification of short ORF ESTs as species-specific transcripts.
Counting the most frequent Ramachandran classification for each φ,ψ-angle showed that the ensembles have a similar percentage for 'allowed' and an increased number of 'outliers' compared to the single structures.
The Ramachandran statistics for the ensemble models are calculated in two ways: blue shows the percentage of outliers (left side) or allowed (right side) from all structures in the ensemble (cf. 'whole distribution' in Figure 6 source data 1 ), whereas red shows these percentages based on the most frequent occurring classification of each φ,ψ combination (cf. 'centroid distribution').
Under the biological process ontology, the majority of the 1,773 assignments were to the physiological process (76%) and cellular process (66%) categories, with frequent sub-classification into the response to stress, response to external stimulus, and cell growth and maintenance categories.
Moreover, it should be noted that for rare causes of death, which are more frequent in detailed classifications of death, a Poisson distribution would be more valid than the Gaussian distribution which was used in our time series model.
