Towards scalable optimal sequence homology detection

Author(s):  
Jeff Daily ◽  
Sriram Krishnamoorthy ◽  
Ananth Kalyanaraman
2015 ◽  
Vol 79-80 ◽  
pp. 132-142 ◽  
Author(s):  
Jeff Daily ◽  
Ananth Kalyanaraman ◽  
Sriram Krishnamoorthy ◽  
Abhinav Vishnu

2011 ◽  
Vol 3 (4) ◽  
pp. 1-9
Author(s):  
Dae-Kyum Kim ◽  
Jae-Seong Yang ◽  
Jinho Kim ◽  
Sanguk Kim

1999 ◽  
Vol 38 (01) ◽  
pp. 50-55 ◽  
Author(s):  
P. F. de Vries Robbé ◽  
A. L. M. Verbeek ◽  
J. L. Severens

Abstract:The problem of deciding the optimal sequence of diagnostic tests can be structured in decision trees, but unmanageable bushy decision trees result when the sequence of two or more tests is investigated. Most modelling techniques include tests on the basis of gain in certainty. The aim of this study was to explore a model for optimizing the sequence of diagnostic tests based on efficiency criteria. The probability modifying plot shows, when in a specific test sequence further testing is redundant and which costs are involved. In this way different sequences can be compared. The model is illustrated with data on urinary tract infection. The sequence of diagnostic tests was optimized on the basis of efficiency, which was either defined as the test sequence with the least number of tests or the least total cost for testing. Further research on the model is needed to handle current limitations.


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