We consider weak thresholding greedy algorithms with respect to Markushevich bases in general Banach spaces.
As the payload size increases, a weak threshold for the selection of edges is used so that more edges can be selected to accommodate the increased amount of data.
Sequences shorter than the average sequence lengths due to deletions will be subjected to a weak threshold which may lead to false positives species resolution (Type I error).
This weak threshold of the direct microscopic examination of imprints could be due to antimicrobial therapy prescribed before cardiac surgery and the fact that the patients came from a tertiary hospital receiving patients with a prolonged history of endocarditis.
Initially hits were selected based on a relatively weak threshold (≥ 20%amino acid identity over the query length); using the minimum gene set criterion, hits to anf/vnfG, and presence of synteny the initial list was refined, yielding the protein sequences listed in Additional file 2: Table S2, Additional file 2: Table S3, Additional file 2: Table S4.
For baseline to 2nd week follow up, ES of Activity reached moderate change threshold, and the remaining ES attained weak change threshold except Wellbeing.
For responsiveness between baseline and 4th week follow up, ES of CMYMOP Symptom 1, Activity and Profile reached the moderate change threshold (ES>0.5), while Symptom 2 and Wellbeing reached the weak change threshold (ES>0.2).
*All p < 0.001 For responsiveness between baseline and 4th week follow up, ES of CMYMOP Symptom 1, Activity and Profile reached the moderate change threshold (ES>0.5), while Symptom 2 and Wellbeing reached the weak change threshold (ES>0.2).
When limiting the historical data to small quantities, no significant clusters are detected at the "strong" signal threshold (i.e. p-value<0.0001), whereas at the lower "weak" signal threshold, the use of all intervals of historical data provide significant clusters detected.
On the other hand, when only using the "weak" signal threshold, the point of saturation (i.e. maximization of cluster detection scores) is not observed.
