FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2020334410> ?p ?o ?g. }

• W2020334410 endingPage "S1" @default.
• W2020334410 startingPage "S1" @default.
• W2020334410 abstract "High-throughput technologies, such as DNA microarray, have significantly advanced biological and biomedical research by enabling researchers to carry out genome-wide screens. One critical task in analyzing genome-wide datasets is to control the false discovery rate (FDR) so that the proportion of false positive features among those called significant is restrained. Recently a number of FDR control methods have been proposed and widely practiced, such as the Benjamini-Hochberg approach, the Storey approach and Significant Analysis of Microarrays (SAM). This paper presents a straight-forward yet powerful FDR control method termed miFDR, which aims to minimize FDR when calling a fixed number of significant features. We theoretically proved that the strategy used by miFDR is able to find the optimal number of significant features when the desired FDR is fixed. We compared miFDR with the BH approach, the Storey approach and SAM on both simulated datasets and public DNA microarray datasets. The results demonstrated that miFDR outperforms others by identifying more significant features under the same FDR cut-offs. Literature search showed that many genes called only by miFDR are indeed relevant to the underlying biology of interest. FDR has been widely applied to analyzing high-throughput datasets allowed for rapid discoveries. Under the same FDR threshold, miFDR is capable to identify more significant features than its competitors at a compatible level of complexity. Therefore, it can potentially generate great impacts on biological and biomedical research. If interested, please contact the authors for getting miFDR." @default.
• W2020334410 created "2016-06-24" @default.
• W2020334410 creator A5024807371 @default.
• W2020334410 creator A5033168441 @default.
• W2020334410 date "2013-01-01" @default.
• W2020334410 modified "2023-09-23" @default.
• W2020334410 title "A novel approach to minimize false discovery rate in genome-wide data analysis" @default.
• W2020334410 cites W1824047490 @default.
• W2020334410 cites W1964895626 @default.
• W2020334410 cites W1970643565 @default.
• W2020334410 cites W1982722271 @default.
• W2020334410 cites W1993488051 @default.
• W2020334410 cites W1995655017 @default.
• W2020334410 cites W1997666894 @default.
• W2020334410 cites W2006648085 @default.
• W2020334410 cites W2008678562 @default.
• W2020334410 cites W2020541351 @default.
• W2020334410 cites W2022737933 @default.
• W2020334410 cites W2032221529 @default.
• W2020334410 cites W2041646382 @default.
• W2020334410 cites W2049488004 @default.
• W2020334410 cites W2051898065 @default.
• W2020334410 cites W2063505523 @default.
• W2020334410 cites W2066878158 @default.
• W2020334410 cites W2074089196 @default.
• W2020334410 cites W2075484507 @default.
• W2020334410 cites W2080204105 @default.
• W2020334410 cites W2081764538 @default.
• W2020334410 cites W2085444785 @default.
• W2020334410 cites W2091841926 @default.
• W2020334410 cites W2105381419 @default.
• W2020334410 cites W2107151108 @default.
• W2020334410 cites W2114328455 @default.
• W2020334410 cites W2116237065 @default.
• W2020334410 cites W2123788288 @default.
• W2020334410 cites W2124252472 @default.
• W2020334410 cites W2127213742 @default.
• W2020334410 cites W2130130572 @default.
• W2020334410 cites W2130489491 @default.
• W2020334410 cites W2133465414 @default.
• W2020334410 cites W2148660920 @default.
• W2020334410 cites W2161023666 @default.
• W2020334410 cites W2168375312 @default.
• W2020334410 cites W4252684946 @default.
• W2020334410 cites W4294107304 @default.
• W2020334410 doi "https://doi.org/10.1186/1752-0509-7-s4-s1" @default.
• W2020334410 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3856609" @default.
• W2020334410 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24564975" @default.
• W2020334410 hasPublicationYear "2013" @default.
• W2020334410 type Work @default.
• W2020334410 sameAs 2020334410 @default.
• W2020334410 citedByCount "2" @default.
• W2020334410 countsByYear W20203344102021 @default.
• W2020334410 countsByYear W20203344102022 @default.
• W2020334410 crossrefType "journal-article" @default.
• W2020334410 hasAuthorship W2020334410A5024807371 @default.
• W2020334410 hasAuthorship W2020334410A5033168441 @default.
• W2020334410 hasBestOaLocation W20203344101 @default.
• W2020334410 hasConcept C104317684 @default.
• W2020334410 hasConcept C105795698 @default.
• W2020334410 hasConcept C124101348 @default.
• W2020334410 hasConcept C141231307 @default.
• W2020334410 hasConcept C150194340 @default.
• W2020334410 hasConcept C152662350 @default.
• W2020334410 hasConcept C157764524 @default.
• W2020334410 hasConcept C183905921 @default.
• W2020334410 hasConcept C193244246 @default.
• W2020334410 hasConcept C33923547 @default.
• W2020334410 hasConcept C41008148 @default.
• W2020334410 hasConcept C54355233 @default.
• W2020334410 hasConcept C555944384 @default.
• W2020334410 hasConcept C70721500 @default.
• W2020334410 hasConcept C76155785 @default.
• W2020334410 hasConcept C86803240 @default.
• W2020334410 hasConcept C95371953 @default.
• W2020334410 hasConceptScore W2020334410C104317684 @default.
• W2020334410 hasConceptScore W2020334410C105795698 @default.
• W2020334410 hasConceptScore W2020334410C124101348 @default.
• W2020334410 hasConceptScore W2020334410C141231307 @default.
• W2020334410 hasConceptScore W2020334410C150194340 @default.
• W2020334410 hasConceptScore W2020334410C152662350 @default.
• W2020334410 hasConceptScore W2020334410C157764524 @default.
• W2020334410 hasConceptScore W2020334410C183905921 @default.
• W2020334410 hasConceptScore W2020334410C193244246 @default.
• W2020334410 hasConceptScore W2020334410C33923547 @default.
• W2020334410 hasConceptScore W2020334410C41008148 @default.
• W2020334410 hasConceptScore W2020334410C54355233 @default.
• W2020334410 hasConceptScore W2020334410C555944384 @default.
• W2020334410 hasConceptScore W2020334410C70721500 @default.
• W2020334410 hasConceptScore W2020334410C76155785 @default.
• W2020334410 hasConceptScore W2020334410C86803240 @default.
• W2020334410 hasConceptScore W2020334410C95371953 @default.
• W2020334410 hasIssue "Suppl 4" @default.
• W2020334410 hasLocation W20203344101 @default.
• W2020334410 hasLocation W20203344102 @default.
• W2020334410 hasLocation W20203344103 @default.
• W2020334410 hasLocation W20203344104 @default.
• W2020334410 hasOpenAccess W2020334410 @default.

• next