Matches in SemOpenAlex for { <https://semopenalex.org/work/W2001362320> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2001362320 endingPage "112" @default.
- W2001362320 startingPage "101" @default.
- W2001362320 abstract "Recently, two promising alignment-based features predicting food allergenicity using the k nearest neighbor (kNN) classifier were reported. These features are the alignment score and alignment length of the best local alignment obtained in a database of known allergen sequences.In the work reported here a much more comprehensive statistical evaluation of the potential of these features was performed, this time for the prediction of allergenicity in general. The evaluation consisted of the following four key components. (1) A new high quality database consisting of 318 carefully selected, non-redundant allergens and 1,007 sequences carefully selected to be non-allergens. (2) Three different supervised algorithms: the kNN classifier, the Bayesian linear Gaussian classifier, and the Bayesian quadratic Gaussian classifier. (3) A large set of local alignment procedures defined using the FASTA3 alignment program by means of a wide range of different parameter settings. (4) Novel performance curves, alternative to conventional receiver-operating characteristic curves, to display not only average behaviors but also statistical variations due to small data sets.The linear Gaussian classifier proved most useful among the tested supervised machine learning algorithms, closely followed by the quadratic Gaussian equivalent and kNN. The overall best classification results were obtained with a novel feature vector consisting of the combined alignment scores derived from local alignment procedures using different substitution matrices.The models reported here should be useful as a part of an integrated assessment scheme for potential protein allergenicity and for future comparisons with alternative bioinformatic approaches." @default.
- W2001362320 created "2016-06-24" @default.
- W2001362320 creator A5012752424 @default.
- W2001362320 creator A5018788933 @default.
- W2001362320 creator A5028063646 @default.
- W2001362320 creator A5068191962 @default.
- W2001362320 date "2004-01-01" @default.
- W2001362320 modified "2023-10-16" @default.
- W2001362320 title "Statistical Evaluation of Local Alignment Features Predicting Allergenicity Using Supervised Classification Algorithms" @default.
- W2001362320 cites W1533152100 @default.
- W2001362320 cites W1973846182 @default.
- W2001362320 cites W1986746242 @default.
- W2001362320 cites W2024213882 @default.
- W2001362320 cites W2047172713 @default.
- W2001362320 cites W2058336694 @default.
- W2001362320 cites W2080336769 @default.
- W2001362320 cites W2087939510 @default.
- W2001362320 cites W2102122585 @default.
- W2001362320 cites W2111876811 @default.
- W2001362320 cites W2132116179 @default.
- W2001362320 cites W2141262207 @default.
- W2001362320 cites W2013221409 @default.
- W2001362320 doi "https://doi.org/10.1159/000076382" @default.
- W2001362320 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/14739578" @default.
- W2001362320 hasPublicationYear "2004" @default.
- W2001362320 type Work @default.
- W2001362320 sameAs 2001362320 @default.
- W2001362320 citedByCount "56" @default.
- W2001362320 countsByYear W20013623202012 @default.
- W2001362320 countsByYear W20013623202013 @default.
- W2001362320 countsByYear W20013623202014 @default.
- W2001362320 countsByYear W20013623202015 @default.
- W2001362320 countsByYear W20013623202016 @default.
- W2001362320 countsByYear W20013623202021 @default.
- W2001362320 countsByYear W20013623202023 @default.
- W2001362320 crossrefType "journal-article" @default.
- W2001362320 hasAuthorship W2001362320A5012752424 @default.
- W2001362320 hasAuthorship W2001362320A5018788933 @default.
- W2001362320 hasAuthorship W2001362320A5028063646 @default.
- W2001362320 hasAuthorship W2001362320A5068191962 @default.
- W2001362320 hasConcept C107673813 @default.
- W2001362320 hasConcept C113238511 @default.
- W2001362320 hasConcept C119857082 @default.
- W2001362320 hasConcept C121332964 @default.
- W2001362320 hasConcept C12267149 @default.
- W2001362320 hasConcept C139532973 @default.
- W2001362320 hasConcept C153180895 @default.
- W2001362320 hasConcept C154945302 @default.
- W2001362320 hasConcept C163716315 @default.
- W2001362320 hasConcept C41008148 @default.
- W2001362320 hasConcept C46686674 @default.
- W2001362320 hasConcept C52001869 @default.
- W2001362320 hasConcept C52620605 @default.
- W2001362320 hasConcept C58471807 @default.
- W2001362320 hasConcept C62520636 @default.
- W2001362320 hasConcept C95623464 @default.
- W2001362320 hasConceptScore W2001362320C107673813 @default.
- W2001362320 hasConceptScore W2001362320C113238511 @default.
- W2001362320 hasConceptScore W2001362320C119857082 @default.
- W2001362320 hasConceptScore W2001362320C121332964 @default.
- W2001362320 hasConceptScore W2001362320C12267149 @default.
- W2001362320 hasConceptScore W2001362320C139532973 @default.
- W2001362320 hasConceptScore W2001362320C153180895 @default.
- W2001362320 hasConceptScore W2001362320C154945302 @default.
- W2001362320 hasConceptScore W2001362320C163716315 @default.
- W2001362320 hasConceptScore W2001362320C41008148 @default.
- W2001362320 hasConceptScore W2001362320C46686674 @default.
- W2001362320 hasConceptScore W2001362320C52001869 @default.
- W2001362320 hasConceptScore W2001362320C52620605 @default.
- W2001362320 hasConceptScore W2001362320C58471807 @default.
- W2001362320 hasConceptScore W2001362320C62520636 @default.
- W2001362320 hasConceptScore W2001362320C95623464 @default.
- W2001362320 hasIssue "2" @default.
- W2001362320 hasLocation W20013623201 @default.
- W2001362320 hasLocation W20013623202 @default.
- W2001362320 hasOpenAccess W2001362320 @default.
- W2001362320 hasPrimaryLocation W20013623201 @default.
- W2001362320 hasRelatedWork W1487671059 @default.
- W2001362320 hasRelatedWork W1965671931 @default.
- W2001362320 hasRelatedWork W2105754477 @default.
- W2001362320 hasRelatedWork W2107265013 @default.
- W2001362320 hasRelatedWork W2368299322 @default.
- W2001362320 hasRelatedWork W2368396039 @default.
- W2001362320 hasRelatedWork W2513386338 @default.
- W2001362320 hasRelatedWork W2796033909 @default.
- W2001362320 hasRelatedWork W3096423661 @default.
- W2001362320 hasRelatedWork W92531827 @default.
- W2001362320 hasVolume "133" @default.
- W2001362320 isParatext "false" @default.
- W2001362320 isRetracted "false" @default.
- W2001362320 magId "2001362320" @default.
- W2001362320 workType "article" @default.