Title |
A generic method for assignment of reliability scores applied to solvent accessibility predictions
|
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Published in |
BMC Molecular and Cell Biology, July 2009
|
DOI | 10.1186/1472-6807-9-51 |
Pubmed ID | |
Authors |
Bent Petersen, Thomas Nordahl Petersen, Pernille Andersen, Morten Nielsen, Claus Lundegaard |
Abstract |
Estimation of the reliability of specific real value predictions is nontrivial and the efficacy of this is often questionable. It is important to know if you can trust a given prediction and therefore the best methods associate a prediction with a reliability score or index. For discrete qualitative predictions, the reliability is conventionally estimated as the difference between output scores of selected classes. Such an approach is not feasible for methods that predict a biological feature as a single real value rather than a classification. As a solution to this challenge, we have implemented a method that predicts the relative surface accessibility of an amino acid and simultaneously predicts the reliability for each prediction, in the form of a Z-score. |
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Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Members of the public | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 2% |
United States | 4 | 1% |
Portugal | 2 | <1% |
Japan | 2 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Korea, Republic of | 1 | <1% |
Chile | 1 | <1% |
Panama | 1 | <1% |
Other | 7 | 2% |
Unknown | 332 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 89 | 25% |
Student > Master | 54 | 15% |
Student > Bachelor | 51 | 14% |
Researcher | 47 | 13% |
Student > Postgraduate | 16 | 4% |
Other | 49 | 14% |
Unknown | 52 | 15% |
Readers by discipline | Count | As % |
---|---|---|
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Biochemistry, Genetics and Molecular Biology | 87 | 24% |
Computer Science | 21 | 6% |
Chemistry | 15 | 4% |
Engineering | 11 | 3% |
Other | 33 | 9% |
Unknown | 58 | 16% |