Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019295544> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2019295544 endingPage "115" @default.
- W2019295544 startingPage "101" @default.
- W2019295544 abstract "Abstract For determination of the relationships among significant gene markers, statistical analysis and association rule mining are considered as very useful protocols. The first protocol identifies the significant differentially expressed/methylated gene markers, whereas the second one produces the interesting relationships among them across different types of samples or conditions. In this article, statistical tests and association rule mining based approaches have been used on gene expression and DNA methylation datasets for the prediction of different classes of samples (viz., Uterine Leiomyoma/class-formersmoker and uterine myometrium/class-neversmoker). A novel rule-based classifier is proposed for this purpose. Depending on sixteen different rule-interestingness measures, we have utilized a Genetic Algorithm based rank aggregation technique on the association rules which are generated from the training set of data by Apriori association rule mining algorithm. After determining the ranks of the rules, we have conducted a majority voting technique on each test point to estimate its class-label through weighted-sum method. We have run this classifier on the combined dataset using 4-fold cross-validations, and thereafter a comparative performance analysis has been made with other popular rulebased classifiers. Finally, the status of some important gene markers has been identified through the frequency analysis in the evolved rules for the two class-labels individually to formulate the interesting associations among them." @default.
- W2019295544 created "2016-06-24" @default.
- W2019295544 creator A5016363044 @default.
- W2019295544 creator A5033317672 @default.
- W2019295544 creator A5072356717 @default.
- W2019295544 date "2013-04-01" @default.
- W2019295544 modified "2023-09-26" @default.
- W2019295544 title "Integrated Statistical and Rule-Mining Techniques for Dna Methylation and Gene Expression Data Analysis" @default.
- W2019295544 cites W1497071712 @default.
- W2019295544 cites W1532476473 @default.
- W2019295544 cites W1936575861 @default.
- W2019295544 cites W1970767350 @default.
- W2019295544 cites W1999144250 @default.
- W2019295544 cites W2005854556 @default.
- W2019295544 cites W2024990640 @default.
- W2019295544 cites W2025228433 @default.
- W2019295544 cites W2030030165 @default.
- W2019295544 cites W2042995932 @default.
- W2019295544 cites W2046759180 @default.
- W2019295544 cites W2081098333 @default.
- W2019295544 cites W2081494781 @default.
- W2019295544 cites W2091807570 @default.
- W2019295544 cites W2094770144 @default.
- W2019295544 cites W2102893853 @default.
- W2019295544 cites W2123047553 @default.
- W2019295544 cites W2128909276 @default.
- W2019295544 cites W2136981613 @default.
- W2019295544 cites W2138073318 @default.
- W2019295544 cites W2141407136 @default.
- W2019295544 cites W2150695689 @default.
- W2019295544 cites W2151768209 @default.
- W2019295544 cites W2152425345 @default.
- W2019295544 cites W2154495753 @default.
- W2019295544 cites W2166559705 @default.
- W2019295544 cites W2170214198 @default.
- W2019295544 cites W2273976338 @default.
- W2019295544 cites W2548201047 @default.
- W2019295544 cites W2127923747 @default.
- W2019295544 doi "https://doi.org/10.2478/jaiscr-2014-0008" @default.
- W2019295544 hasPublicationYear "2013" @default.
- W2019295544 type Work @default.
- W2019295544 sameAs 2019295544 @default.
- W2019295544 citedByCount "11" @default.
- W2019295544 countsByYear W20192955442015 @default.
- W2019295544 countsByYear W20192955442017 @default.
- W2019295544 countsByYear W20192955442018 @default.
- W2019295544 countsByYear W20192955442019 @default.
- W2019295544 countsByYear W20192955442020 @default.
- W2019295544 countsByYear W20192955442023 @default.
- W2019295544 crossrefType "journal-article" @default.
- W2019295544 hasAuthorship W2019295544A5016363044 @default.
- W2019295544 hasAuthorship W2019295544A5033317672 @default.
- W2019295544 hasAuthorship W2019295544A5072356717 @default.
- W2019295544 hasBestOaLocation W20192955441 @default.
- W2019295544 hasConcept C104317684 @default.
- W2019295544 hasConcept C119857082 @default.
- W2019295544 hasConcept C124101348 @default.
- W2019295544 hasConcept C150194340 @default.
- W2019295544 hasConcept C153668964 @default.
- W2019295544 hasConcept C154945302 @default.
- W2019295544 hasConcept C190727270 @default.
- W2019295544 hasConcept C193524817 @default.
- W2019295544 hasConcept C41008148 @default.
- W2019295544 hasConcept C54355233 @default.
- W2019295544 hasConcept C86803240 @default.
- W2019295544 hasConcept C95623464 @default.
- W2019295544 hasConceptScore W2019295544C104317684 @default.
- W2019295544 hasConceptScore W2019295544C119857082 @default.
- W2019295544 hasConceptScore W2019295544C124101348 @default.
- W2019295544 hasConceptScore W2019295544C150194340 @default.
- W2019295544 hasConceptScore W2019295544C153668964 @default.
- W2019295544 hasConceptScore W2019295544C154945302 @default.
- W2019295544 hasConceptScore W2019295544C190727270 @default.
- W2019295544 hasConceptScore W2019295544C193524817 @default.
- W2019295544 hasConceptScore W2019295544C41008148 @default.
- W2019295544 hasConceptScore W2019295544C54355233 @default.
- W2019295544 hasConceptScore W2019295544C86803240 @default.
- W2019295544 hasConceptScore W2019295544C95623464 @default.
- W2019295544 hasIssue "2" @default.
- W2019295544 hasLocation W20192955441 @default.
- W2019295544 hasOpenAccess W2019295544 @default.
- W2019295544 hasPrimaryLocation W20192955441 @default.
- W2019295544 hasRelatedWork W2144001273 @default.
- W2019295544 hasRelatedWork W2347219288 @default.
- W2019295544 hasRelatedWork W2556319748 @default.
- W2019295544 hasRelatedWork W2886126675 @default.
- W2019295544 hasRelatedWork W2961085424 @default.
- W2019295544 hasRelatedWork W3186246352 @default.
- W2019295544 hasRelatedWork W3200179079 @default.
- W2019295544 hasRelatedWork W4306674287 @default.
- W2019295544 hasRelatedWork W4322744035 @default.
- W2019295544 hasRelatedWork W4327781369 @default.
- W2019295544 hasVolume "3" @default.
- W2019295544 isParatext "false" @default.
- W2019295544 isRetracted "false" @default.
- W2019295544 magId "2019295544" @default.
- W2019295544 workType "article" @default.