Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385955229> ?p ?o ?g. }
- W4385955229 endingPage "9346" @default.
- W4385955229 startingPage "9346" @default.
- W4385955229 abstract "Interleukin-10 (IL-10) has anti-inflammatory properties and is a crucial cytokine in regulating immunity. The identification of IL-10 through wet laboratory experiments is costly and time-intensive. Therefore, a new IL-10-induced peptide recognition method, IL10-Stack, was introduced in this research, which was based on unified deep representation learning and a stacking algorithm. Two approaches were employed to extract features from peptide sequences: Amino Acid Index (AAindex) and sequence-based unified representation (UniRep). After feature fusion and optimized feature selection, we selected a 1900-dimensional UniRep feature vector and constructed the IL10-Stack model using stacking. IL10-Stack exhibited excellent performance in IL-10-induced peptide recognition (accuracy (ACC) = 0.910, Matthews correlation coefficient (MCC) = 0.820). Relative to the existing methods, IL-10Pred and ILeukin10Pred, the approach increased in ACC by 12.1% and 2.4%, respectively. The IL10-Stack method can identify IL-10-induced peptides, which aids in the development of immunosuppressive drugs." @default.
- W4385955229 created "2023-08-18" @default.
- W4385955229 creator A5071860317 @default.
- W4385955229 creator A5072864969 @default.
- W4385955229 creator A5080905014 @default.
- W4385955229 creator A5081093526 @default.
- W4385955229 date "2023-08-17" @default.
- W4385955229 modified "2023-10-16" @default.
- W4385955229 title "A Stacking Machine Learning Method for IL-10-Induced Peptide Sequence Recognition Based on Unified Deep Representation Learning" @default.
- W4385955229 cites W2043338013 @default.
- W4385955229 cites W2084990572 @default.
- W4385955229 cites W2141072599 @default.
- W4385955229 cites W2154459215 @default.
- W4385955229 cites W2588895177 @default.
- W4385955229 cites W2731397609 @default.
- W4385955229 cites W2980789587 @default.
- W4385955229 cites W3110693579 @default.
- W4385955229 cites W3136101359 @default.
- W4385955229 cites W3147234347 @default.
- W4385955229 cites W3198751005 @default.
- W4385955229 cites W3207672631 @default.
- W4385955229 cites W3215029602 @default.
- W4385955229 cites W3217789277 @default.
- W4385955229 cites W4200448109 @default.
- W4385955229 cites W4224737779 @default.
- W4385955229 cites W4226113632 @default.
- W4385955229 cites W4281294892 @default.
- W4385955229 cites W4285118104 @default.
- W4385955229 cites W4308436127 @default.
- W4385955229 cites W4309701552 @default.
- W4385955229 cites W4312827846 @default.
- W4385955229 cites W4313555233 @default.
- W4385955229 cites W4315491786 @default.
- W4385955229 cites W4318612175 @default.
- W4385955229 cites W4318779512 @default.
- W4385955229 cites W4318830507 @default.
- W4385955229 cites W4319072352 @default.
- W4385955229 cites W4319928909 @default.
- W4385955229 cites W4320917196 @default.
- W4385955229 cites W4321022102 @default.
- W4385955229 cites W4321453052 @default.
- W4385955229 cites W4321486181 @default.
- W4385955229 cites W4322621096 @default.
- W4385955229 cites W4322758975 @default.
- W4385955229 cites W4323830163 @default.
- W4385955229 cites W4327738130 @default.
- W4385955229 cites W4360821312 @default.
- W4385955229 cites W4361295130 @default.
- W4385955229 cites W4362510537 @default.
- W4385955229 cites W4366826010 @default.
- W4385955229 cites W4367841363 @default.
- W4385955229 cites W4375851115 @default.
- W4385955229 cites W4378611226 @default.
- W4385955229 cites W4378745480 @default.
- W4385955229 cites W4379520160 @default.
- W4385955229 cites W4379882055 @default.
- W4385955229 cites W4381094539 @default.
- W4385955229 cites W4382068486 @default.
- W4385955229 cites W4382490591 @default.
- W4385955229 cites W4383506083 @default.
- W4385955229 doi "https://doi.org/10.3390/app13169346" @default.
- W4385955229 hasPublicationYear "2023" @default.
- W4385955229 type Work @default.
- W4385955229 citedByCount "0" @default.
- W4385955229 crossrefType "journal-article" @default.
- W4385955229 hasAuthorship W4385955229A5071860317 @default.
- W4385955229 hasAuthorship W4385955229A5072864969 @default.
- W4385955229 hasAuthorship W4385955229A5080905014 @default.
- W4385955229 hasAuthorship W4385955229A5081093526 @default.
- W4385955229 hasBestOaLocation W43859552291 @default.
- W4385955229 hasConcept C108583219 @default.
- W4385955229 hasConcept C119857082 @default.
- W4385955229 hasConcept C153180895 @default.
- W4385955229 hasConcept C154945302 @default.
- W4385955229 hasConcept C17744445 @default.
- W4385955229 hasConcept C178790620 @default.
- W4385955229 hasConcept C185592680 @default.
- W4385955229 hasConcept C187316574 @default.
- W4385955229 hasConcept C199360897 @default.
- W4385955229 hasConcept C199539241 @default.
- W4385955229 hasConcept C203014093 @default.
- W4385955229 hasConcept C2776359362 @default.
- W4385955229 hasConcept C2778112365 @default.
- W4385955229 hasConcept C2778690821 @default.
- W4385955229 hasConcept C2779281246 @default.
- W4385955229 hasConcept C33347731 @default.
- W4385955229 hasConcept C33923547 @default.
- W4385955229 hasConcept C41008148 @default.
- W4385955229 hasConcept C55493867 @default.
- W4385955229 hasConcept C86803240 @default.
- W4385955229 hasConcept C9395851 @default.
- W4385955229 hasConcept C94625758 @default.
- W4385955229 hasConceptScore W4385955229C108583219 @default.
- W4385955229 hasConceptScore W4385955229C119857082 @default.
- W4385955229 hasConceptScore W4385955229C153180895 @default.
- W4385955229 hasConceptScore W4385955229C154945302 @default.
- W4385955229 hasConceptScore W4385955229C17744445 @default.
- W4385955229 hasConceptScore W4385955229C178790620 @default.