Matches in SemOpenAlex for { <https://semopenalex.org/work/W4284958338> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W4284958338 endingPage "240" @default.
- W4284958338 startingPage "224" @default.
- W4284958338 abstract "Human genome data analysis is one of the molecular level information in health informatics, which enables genetic epidemiological analysis of complex data sets. The recent studies of the genomic sequence, a part of genome-wide association studies (GWAS) have led to understand the genetic architecture to identify the area of focus i.e. interactions with single-nucleotide polymorphism (SNP) is linked to causing complex diseases. The study and identification of these interactions and splicing of nucleic acids involves complexity in processing and computation. This article reviews current methods and trends in various machine learning and data mining approaches which are very complex and challenging to model and evaluate the performances." @default.
- W4284958338 created "2022-07-10" @default.
- W4284958338 creator A5065918737 @default.
- W4284958338 creator A5086572952 @default.
- W4284958338 date "2022-05-13" @default.
- W4284958338 modified "2023-09-27" @default.
- W4284958338 title "Machine Learning Techniques for Analysis of Human Genome Data" @default.
- W4284958338 cites W1492273171 @default.
- W4284958338 cites W1932585510 @default.
- W4284958338 cites W1967360667 @default.
- W4284958338 cites W1967395566 @default.
- W4284958338 cites W1971299565 @default.
- W4284958338 cites W2040151959 @default.
- W4284958338 cites W2085725176 @default.
- W4284958338 cites W2099973138 @default.
- W4284958338 cites W2112409097 @default.
- W4284958338 cites W2118640031 @default.
- W4284958338 cites W2119419044 @default.
- W4284958338 cites W2121784101 @default.
- W4284958338 cites W2129133658 @default.
- W4284958338 cites W2134469465 @default.
- W4284958338 cites W2137503082 @default.
- W4284958338 cites W2161645441 @default.
- W4284958338 cites W2221443338 @default.
- W4284958338 cites W2250425424 @default.
- W4284958338 cites W2292445745 @default.
- W4284958338 cites W2293839164 @default.
- W4284958338 cites W2311607323 @default.
- W4284958338 cites W2320705913 @default.
- W4284958338 cites W2345070695 @default.
- W4284958338 cites W2510591832 @default.
- W4284958338 cites W2531971686 @default.
- W4284958338 cites W2557373494 @default.
- W4284958338 cites W2558077163 @default.
- W4284958338 cites W2566095163 @default.
- W4284958338 cites W2569214105 @default.
- W4284958338 cites W2572005288 @default.
- W4284958338 cites W2574721333 @default.
- W4284958338 cites W2595828237 @default.
- W4284958338 cites W2609684839 @default.
- W4284958338 cites W2610727175 @default.
- W4284958338 cites W2618454934 @default.
- W4284958338 cites W2911964244 @default.
- W4284958338 cites W2919115771 @default.
- W4284958338 cites W2963905884 @default.
- W4284958338 cites W4246020459 @default.
- W4284958338 cites W92469554 @default.
- W4284958338 doi "https://doi.org/10.4018/978-1-6684-6291-1.ch013" @default.
- W4284958338 hasPublicationYear "2022" @default.
- W4284958338 type Work @default.
- W4284958338 citedByCount "1" @default.
- W4284958338 countsByYear W42849583382022 @default.
- W4284958338 crossrefType "book-chapter" @default.
- W4284958338 hasAuthorship W4284958338A5065918737 @default.
- W4284958338 hasAuthorship W4284958338A5086572952 @default.
- W4284958338 hasConcept C104317684 @default.
- W4284958338 hasConcept C106208931 @default.
- W4284958338 hasConcept C116834253 @default.
- W4284958338 hasConcept C135763542 @default.
- W4284958338 hasConcept C141231307 @default.
- W4284958338 hasConcept C153209595 @default.
- W4284958338 hasConcept C197077220 @default.
- W4284958338 hasConcept C2522767166 @default.
- W4284958338 hasConcept C41008148 @default.
- W4284958338 hasConcept C54355233 @default.
- W4284958338 hasConcept C59822182 @default.
- W4284958338 hasConcept C70721500 @default.
- W4284958338 hasConcept C86803240 @default.
- W4284958338 hasConceptScore W4284958338C104317684 @default.
- W4284958338 hasConceptScore W4284958338C106208931 @default.
- W4284958338 hasConceptScore W4284958338C116834253 @default.
- W4284958338 hasConceptScore W4284958338C135763542 @default.
- W4284958338 hasConceptScore W4284958338C141231307 @default.
- W4284958338 hasConceptScore W4284958338C153209595 @default.
- W4284958338 hasConceptScore W4284958338C197077220 @default.
- W4284958338 hasConceptScore W4284958338C2522767166 @default.
- W4284958338 hasConceptScore W4284958338C41008148 @default.
- W4284958338 hasConceptScore W4284958338C54355233 @default.
- W4284958338 hasConceptScore W4284958338C59822182 @default.
- W4284958338 hasConceptScore W4284958338C70721500 @default.
- W4284958338 hasConceptScore W4284958338C86803240 @default.
- W4284958338 hasLocation W42849583381 @default.
- W4284958338 hasOpenAccess W4284958338 @default.
- W4284958338 hasPrimaryLocation W42849583381 @default.
- W4284958338 hasRelatedWork W1511158074 @default.
- W4284958338 hasRelatedWork W1988981743 @default.
- W4284958338 hasRelatedWork W1992310781 @default.
- W4284958338 hasRelatedWork W2006232909 @default.
- W4284958338 hasRelatedWork W2102304447 @default.
- W4284958338 hasRelatedWork W2113463947 @default.
- W4284958338 hasRelatedWork W2161955640 @default.
- W4284958338 hasRelatedWork W2202219635 @default.
- W4284958338 hasRelatedWork W2435512095 @default.
- W4284958338 hasRelatedWork W3111070690 @default.
- W4284958338 isParatext "false" @default.
- W4284958338 isRetracted "false" @default.
- W4284958338 workType "book-chapter" @default.