'sensitive algorithm' is a correct and usable phrase in written English.
It can be used whenever discussing an algorithm that is designed to handle or process sensitive information or data. Example: The company's new sensitive algorithm ensures that all customer data is securely encrypted and protected from potential hackers.
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).
BookLikes is dedicated to all kinds of readers; it's easy for anyone to find a good book thanks to the site's highly sensitive algorithm.
Objective: The purpose of this study was to develop a highly sensitive algorithm for midtrimester Down syndrome detection.
We present an output sensitive algorithm for computing a maximum independent set of an unweighted circle graph.
Composite patterns of monthly averaged (1978 2002) satellite passive microwave derived snow water equivalent (SWE) data produced using the Meteorological Service of Canada land cover sensitive algorithm suite contain an interannually consistent and well-defined zone of high SWE retrievals (> 100 mm) across the northern boreal forest of western Canada.
High coverage genes require more selective methods, whereas low coverage genes favor more sensitive algorithms.
On the other hand, ILLS, SKNN, BPCA and SVD are sensitive algorithms.
More sensitive algorithms return larger numbers of ccgs because they can detect low-amplitude rhythms.
As more sensitive algorithms for deducing homology become available, it may be possible to confirm or refute the relatedness of the tethering complexes and distinguish between these scenarios.
Later, the gene set enrichment analysis (GSEA) method [ 11] pioneered another family of more sensitive algorithms based on testing the distribution of functional annotations along a list of genes ranked by differential expression [ 12- 16].
