Both studies assessed the criterion validity and specified sensitivity and specificity [ 32, 33].
Sensitivity is defined as the percentage of true disease genes that are ranked above a specified threshold while specificity is defined as percentage of all non related disease genes that are ranked below a specified threshold.
Sensitivity is defined as the percentage of true disease genes that are ranked above a specified threshold while specificity is defined as percentage of all nonrelated disease genes that are ranked below a specified threshold.
For the derivation of prediction models, standard calculations of sample size do not apply since these calculations do not account for the model development process (ie, selection of variables and the optimisation to achieve specified sensitivity and specificity cut-offs).
As more eukaryote genome sequences become available, the term 'lineage-specific gene' is gaining in popularity because one can specify the 'lineage specificity' of a gene to describe its phylogenetic distribution [ 3].
This definition does not specify a directional specificity for the switching process, because there is currently no evidence for differences between switching from perceptually derived to self-generated information and vice versa (Gilbert et al., 2005).
For example, a cytotoxic T cell is defined by the cell surface markers Cluster of Differentiation (CD 3, CD45, and CD8, with additional markers specifying the antigen specificity of the T cell receptor (TCR) or providing further phenotypic classification, such as effector memory.
The probability cut-point for prediction of neoplasia for specified levels of sensitivity and specificity can be identified and was chosen to maximise sensitivity as indicated in the study protocol.
If combined with real-time control, these techniques could offer the ability to optically clamp activity levels in specified subnetworks with far greater specificity than is afforded using electrodes.
We evaluated the performance of the optimal classifier using LOPOCV by adding one feature at a time in a top-down selection starting with the top two features of the ranked genes, thereby, optimizing the number of genes for obtaining 90% sensitivity, together with the highest specificity with a specified gene list.
