Matches in SemOpenAlex for { <https://semopenalex.org/work/W2006406918> ?p ?o ?g. }
- W2006406918 endingPage "368" @default.
- W2006406918 startingPage "358" @default.
- W2006406918 abstract "Affymetrix GeneChips are one of the best established microarray platforms. This powerful technique allows users to measure the expression of thousands of genes simultaneously. However, a microarray experiment is a sophisticated and time consuming endeavor with many potential sources of unwanted variation that could compromise the results if left uncontrolled. Increasing data volume and data complexity have triggered growing concern and awareness of the importance of assessing the quality of generated microarray data. In this review, we give an overview of current methods and software tools for quality assessment of Affymetrix GeneChip data. We focus on quality metrics, diagnostic plots, probe-level methods, pseudo-images, and classification methods to identify corrupted chips. We also describe RNA quality assessment methods which play an important role in challenging RNA sources like formalin embedded biopsies, laser-micro dissected samples, or single cells. No wet-lab methods are discussed in this paper." @default.
- W2006406918 created "2016-06-24" @default.
- W2006406918 creator A5053625034 @default.
- W2006406918 creator A5058462301 @default.
- W2006406918 date "2006-09-01" @default.
- W2006406918 modified "2023-10-16" @default.
- W2006406918 title "Quality Assessment of Affymetrix GeneChip Data" @default.
- W2006406918 cites W1505782191 @default.
- W2006406918 cites W1544285048 @default.
- W2006406918 cites W1544923801 @default.
- W2006406918 cites W1590624824 @default.
- W2006406918 cites W1606576385 @default.
- W2006406918 cites W1608062813 @default.
- W2006406918 cites W1754742998 @default.
- W2006406918 cites W1806059209 @default.
- W2006406918 cites W1840387029 @default.
- W2006406918 cites W1973614663 @default.
- W2006406918 cites W1976670804 @default.
- W2006406918 cites W2019573571 @default.
- W2006406918 cites W2020541351 @default.
- W2006406918 cites W2027358346 @default.
- W2006406918 cites W2028686670 @default.
- W2006406918 cites W2029441111 @default.
- W2006406918 cites W2030582688 @default.
- W2006406918 cites W2034270708 @default.
- W2006406918 cites W2052565759 @default.
- W2006406918 cites W2053818267 @default.
- W2006406918 cites W2077306356 @default.
- W2006406918 cites W2079643255 @default.
- W2006406918 cites W2083737836 @default.
- W2006406918 cites W2096451658 @default.
- W2006406918 cites W2105381419 @default.
- W2006406918 cites W2109173951 @default.
- W2006406918 cites W2109972881 @default.
- W2006406918 cites W2111696544 @default.
- W2006406918 cites W2115150650 @default.
- W2006406918 cites W2116634113 @default.
- W2006406918 cites W2119274294 @default.
- W2006406918 cites W2120865735 @default.
- W2006406918 cites W2125905177 @default.
- W2006406918 cites W2130383124 @default.
- W2006406918 cites W2134268015 @default.
- W2006406918 cites W2142735131 @default.
- W2006406918 cites W2156809732 @default.
- W2006406918 cites W2170989872 @default.
- W2006406918 cites W4243634040 @default.
- W2006406918 cites W4247420482 @default.
- W2006406918 cites W4249966633 @default.
- W2006406918 cites W4253759977 @default.
- W2006406918 doi "https://doi.org/10.1089/omi.2006.10.358" @default.
- W2006406918 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17069513" @default.
- W2006406918 hasPublicationYear "2006" @default.
- W2006406918 type Work @default.
- W2006406918 sameAs 2006406918 @default.
- W2006406918 citedByCount "95" @default.
- W2006406918 countsByYear W20064069182012 @default.
- W2006406918 countsByYear W20064069182013 @default.
- W2006406918 countsByYear W20064069182014 @default.
- W2006406918 countsByYear W20064069182015 @default.
- W2006406918 countsByYear W20064069182016 @default.
- W2006406918 countsByYear W20064069182017 @default.
- W2006406918 countsByYear W20064069182018 @default.
- W2006406918 countsByYear W20064069182019 @default.
- W2006406918 countsByYear W20064069182020 @default.
- W2006406918 countsByYear W20064069182021 @default.
- W2006406918 countsByYear W20064069182022 @default.
- W2006406918 countsByYear W20064069182023 @default.
- W2006406918 crossrefType "journal-article" @default.
- W2006406918 hasAuthorship W2006406918A5053625034 @default.
- W2006406918 hasAuthorship W2006406918A5058462301 @default.
- W2006406918 hasConcept C104317684 @default.
- W2006406918 hasConcept C111472728 @default.
- W2006406918 hasConcept C124101348 @default.
- W2006406918 hasConcept C127413603 @default.
- W2006406918 hasConcept C138885662 @default.
- W2006406918 hasConcept C150194340 @default.
- W2006406918 hasConcept C176217482 @default.
- W2006406918 hasConcept C186836561 @default.
- W2006406918 hasConcept C199360897 @default.
- W2006406918 hasConcept C21547014 @default.
- W2006406918 hasConcept C24361400 @default.
- W2006406918 hasConcept C24756922 @default.
- W2006406918 hasConcept C2522767166 @default.
- W2006406918 hasConcept C2777904410 @default.
- W2006406918 hasConcept C2779530757 @default.
- W2006406918 hasConcept C41008148 @default.
- W2006406918 hasConcept C54355233 @default.
- W2006406918 hasConcept C8415881 @default.
- W2006406918 hasConcept C86803240 @default.
- W2006406918 hasConcept C95371953 @default.
- W2006406918 hasConceptScore W2006406918C104317684 @default.
- W2006406918 hasConceptScore W2006406918C111472728 @default.
- W2006406918 hasConceptScore W2006406918C124101348 @default.
- W2006406918 hasConceptScore W2006406918C127413603 @default.
- W2006406918 hasConceptScore W2006406918C138885662 @default.
- W2006406918 hasConceptScore W2006406918C150194340 @default.
- W2006406918 hasConceptScore W2006406918C176217482 @default.
- W2006406918 hasConceptScore W2006406918C186836561 @default.