Matches in SemOpenAlex for { <https://semopenalex.org/work/W2070720920> ?p ?o ?g. }
- W2070720920 abstract "Abstract Various knowledge-based methods can be applied to the analysis and modeling of gene expression and clinical data. I focus on knowledge-based neural networks (KBNN), illustrating how they have been used in cancer profiling and gene regulatory network discovery. I demonstrate that the KBNN approach facilitates adaptive learning and knowledge discovery, along with the creation of more accurate classification and prognostic systems, both global and personalized." @default.
- W2070720920 created "2016-06-24" @default.
- W2070720920 creator A5024893012 @default.
- W2070720920 date "2004-11-01" @default.
- W2070720920 modified "2023-09-27" @default.
- W2070720920 title "Knowledge-based neural networks for gene expression data analysis, modelling and profile discovery" @default.
- W2070720920 cites W1536929369 @default.
- W2070720920 cites W1597190145 @default.
- W2070720920 cites W1679913846 @default.
- W2070720920 cites W1808591511 @default.
- W2070720920 cites W1977867644 @default.
- W2070720920 cites W1978279746 @default.
- W2070720920 cites W1986640734 @default.
- W2070720920 cites W2004958539 @default.
- W2070720920 cites W2010429723 @default.
- W2070720920 cites W2019207321 @default.
- W2070720920 cites W2023971898 @default.
- W2070720920 cites W2046661787 @default.
- W2070720920 cites W2049372093 @default.
- W2070720920 cites W2061423409 @default.
- W2070720920 cites W2064208261 @default.
- W2070720920 cites W2079325629 @default.
- W2070720920 cites W2087684630 @default.
- W2070720920 cites W2097255042 @default.
- W2070720920 cites W2097766022 @default.
- W2070720920 cites W2100555004 @default.
- W2070720920 cites W2105734419 @default.
- W2070720920 cites W2108728387 @default.
- W2070720920 cites W2109363337 @default.
- W2070720920 cites W2113076747 @default.
- W2070720920 cites W2116576271 @default.
- W2070720920 cites W2117135012 @default.
- W2070720920 cites W2130000923 @default.
- W2070720920 cites W2137476312 @default.
- W2070720920 cites W2140065103 @default.
- W2070720920 cites W2148603752 @default.
- W2070720920 cites W2153689949 @default.
- W2070720920 cites W2155092357 @default.
- W2070720920 cites W2157212746 @default.
- W2070720920 cites W2159230174 @default.
- W2070720920 cites W2163296727 @default.
- W2070720920 cites W2165298438 @default.
- W2070720920 cites W223746243 @default.
- W2070720920 cites W238668910 @default.
- W2070720920 cites W2912565176 @default.
- W2070720920 cites W3023540311 @default.
- W2070720920 cites W3187744176 @default.
- W2070720920 cites W577906497 @default.
- W2070720920 doi "https://doi.org/10.1016/s1741-8364(04)02427-8" @default.
- W2070720920 hasPublicationYear "2004" @default.
- W2070720920 type Work @default.
- W2070720920 sameAs 2070720920 @default.
- W2070720920 citedByCount "11" @default.
- W2070720920 countsByYear W20707209202016 @default.
- W2070720920 crossrefType "journal-article" @default.
- W2070720920 hasAuthorship W2070720920A5024893012 @default.
- W2070720920 hasConcept C104317684 @default.
- W2070720920 hasConcept C111919701 @default.
- W2070720920 hasConcept C119857082 @default.
- W2070720920 hasConcept C120567893 @default.
- W2070720920 hasConcept C124101348 @default.
- W2070720920 hasConcept C150194340 @default.
- W2070720920 hasConcept C154945302 @default.
- W2070720920 hasConcept C18431079 @default.
- W2070720920 hasConcept C187191949 @default.
- W2070720920 hasConcept C2522767166 @default.
- W2070720920 hasConcept C41008148 @default.
- W2070720920 hasConcept C50644808 @default.
- W2070720920 hasConcept C55493867 @default.
- W2070720920 hasConcept C60644358 @default.
- W2070720920 hasConcept C67339327 @default.
- W2070720920 hasConcept C70721500 @default.
- W2070720920 hasConcept C74187038 @default.
- W2070720920 hasConcept C86803240 @default.
- W2070720920 hasConceptScore W2070720920C104317684 @default.
- W2070720920 hasConceptScore W2070720920C111919701 @default.
- W2070720920 hasConceptScore W2070720920C119857082 @default.
- W2070720920 hasConceptScore W2070720920C120567893 @default.
- W2070720920 hasConceptScore W2070720920C124101348 @default.
- W2070720920 hasConceptScore W2070720920C150194340 @default.
- W2070720920 hasConceptScore W2070720920C154945302 @default.
- W2070720920 hasConceptScore W2070720920C18431079 @default.
- W2070720920 hasConceptScore W2070720920C187191949 @default.
- W2070720920 hasConceptScore W2070720920C2522767166 @default.
- W2070720920 hasConceptScore W2070720920C41008148 @default.
- W2070720920 hasConceptScore W2070720920C50644808 @default.
- W2070720920 hasConceptScore W2070720920C55493867 @default.
- W2070720920 hasConceptScore W2070720920C60644358 @default.
- W2070720920 hasConceptScore W2070720920C67339327 @default.
- W2070720920 hasConceptScore W2070720920C70721500 @default.
- W2070720920 hasConceptScore W2070720920C74187038 @default.
- W2070720920 hasConceptScore W2070720920C86803240 @default.
- W2070720920 hasLocation W20707209201 @default.
- W2070720920 hasOpenAccess W2070720920 @default.
- W2070720920 hasPrimaryLocation W20707209201 @default.
- W2070720920 hasRelatedWork W1557986679 @default.
- W2070720920 hasRelatedWork W1574396698 @default.
- W2070720920 hasRelatedWork W1577427453 @default.
- W2070720920 hasRelatedWork W2062069816 @default.
- W2070720920 hasRelatedWork W2082593161 @default.