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At least 253 records · Page 14Linked to original sources
PubMed1989

Tree graphs of RNA secondary structures and their comparisons.

To facilitate comparison of RNA secondary structures each structure is represented as an ordered labeled tree. Several alternate secondary structures yielding a set of trees can be computed for any given RNA molecule (sequence). Frequently recurring subtrees are searched in this set of trees. The consensus structure motifs are then selected and used to construct a secondary structure model of the RNA. Given the difficulties involved in RNA secondary structure calculations, this procedure may significantly improve our predictive capabilities. In addition, the change of secondary structures between two different RNA sequences is described as a transformation of ordered trees. The transferable ratio of tree A from tree B is defined as a proportion of the largest common subtrees in trees A and B occurring in tree A. The method is applied to the study of the mechanism of human alpha 1 globin pre-mRNA splicing. In the study, two tentative splicing mechanisms, A and B, with different orders of intron excision from alpha 1 globin pre-mRNA have been stimulated. A possible relationship between the structural features of the secondary structures and the order of intron excision in the pathway of precursor splicing of human alpha 1 globin is discussed.

Base Sequence↗
PubMed1995

Two-graph receiver operating characteristic (TG-ROC): a Microsoft-EXCEL template for the selection of cut-off values in diagnostic tests.

TG-ROC, a template for Microsoft-EXCEL, represents a novel, easy-to-handle approach for selecting cut-off values in quantitative diagnostic tests. In addition to graphical representations of test efficiency, Youden index and likelihood ratios as functions of the preselected cut-off value, the software supports the definition of an intermediate range of test results. For this purpose, two cut-off values are established that realise a pre-selected accuracy level (e.g., 90 or 95% sensitivity and specificity) which can be specified by the user.

Serologic Tests↗
PubMed1996

Two-graph receiver operating characteristic (TG-ROC): update version supports optimisation of cut-off values that minimise overall misclassification costs.

TG-ROC was recently introduced as a novel PC-assisted device for cut-off optimisation and evaluation of quantitative serodiagnostic tests (Greiner, 1995, J. Immunol. Methods 185, 145; Greiner et al., 1995, J. Immunol. Methods 185, 123). In this notice a recent extension of the programme is described which facilitates the cut-off selection when estimates of costs associated with false-positive and false-negative results are available.

Cost-Benefit Analysis↗