Sentence examples for most sensitive algorithm from inspiring English sources

However, when the algorithms were tested on class IV orthogroups, which comprise the majority of gold groups (1,957 orthogroups or ∼70%) and have lost all paralogs from the same track (Figure 1C), cRBH still performed better by showing a very low fdr, high accuracy and specificity and almost equal sensitivity as OrthoMCL, the most sensitive algorithm (Figure 3).

In the most sensitive algorithm (that using five diagnostic codes), estimates for Sensitivity ranged from 14.5%CI9595% 10.3-19.6) to 45.7% (CI95% 41.4-50.1).

Although this was not an important source of false positive cases, in the most sensitive algorithm, figures ranged from 1.3% in ZD to 4.5% in BD.

PSI-BLAST (Altschul et al., 1997) is the most sensitive algorithm and beneficial for sequences that fail to result in significant hits with the other algorithms.

Of algorithms using screening for prolonged cough the NNS is 3-4 times higher compared to the NNS of the most sensitive algorithm and exceeds 1000 if the TB prevalence is below 0.5%.

BreakDancer in particular holds its recall well with low coverage (and overall compared with E. coli), making it the most sensitive algorithm at 7.5×, followed by DELLY and then Socrates.

As expected the most specific strategy (algorithm 4) identified less prevalent cases than the most sensitive one (algorithm 2); however, 9 69.2%) prevalent cases were found in GD, 78 (82.1%) in BD, 14 66.7%) in MD and 36 81.8%) in ZD.

S: sensitivity, PPV: Positive Predictive Value; CI95%: Confidence Interval assuming a type I error of 5% The most sensitive strategy (algorithm 2) was that which used diagnostic codes from position 1 to 5; whereas the most predictive (algorithm 4) (i.e. the highest PPV) was that which considered concurrent diagnoses and procedures from positions 1 to 5 (Table 2).

Due to the sequence divergence between these genomes, this comparison requires the most sensitive alignment algorithm in order to be successful.

We defined severe sepsis cases in the administrative hospital record used the Angus International Classification of Diseases, Ninth Revision, Clinical Modification (ICD9-CM) implementation (infection + organ dysfunction) as it is the most accurate and sensitive algorithm compared to structured manual chart review [ 15].

The simulations revealed that the algorithm is most sensitive to contrast-to-noise ratio levels and to errors in the assumed hemodynamic model and least sensitive to autocorrelation in the noise.