Matches in SemOpenAlex for { <https://semopenalex.org/work/W2884308757> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2884308757 abstract "Using whole-exome sequencing (WES) for the detection of chromosomal aberrations from tumor samples has become increasingly popular, as it is cost-effective and time efficient. However, factors which present in WES tumor samples, including diversity in exon size, batch effect and tumor impurity, can complicate the identification of somatic mutation in each region of the exon. To address these issues, the authors of the present study have developed a novel method, PECNV, for the detection of genomic copy number variants and loss of heterozygosity in WES datasets. PECNV combines normalized logarithm ratio of read counts (Log Ratio) and B allele frequency (BAF), and then employs expectation maximization (EM) algorithm to estimate parameters involved in the models. A comprehensive assessment of PECNV of PECNV was performed by analyzing simulated datasets contaminated with different normal cell proportion and eight real primary triple-negative breast cancer samples. PECNV demonstrated superior results compared with ExomeCNV and EXCAVATOR for the detection of genomic aberrations in WES data." @default.
- W2884308757 created "2018-08-03" @default.
- W2884308757 creator A5006085047 @default.
- W2884308757 creator A5011137663 @default.
- W2884308757 creator A5014371590 @default.
- W2884308757 creator A5026475770 @default.
- W2884308757 creator A5036647389 @default.
- W2884308757 date "2018-07-16" @default.
- W2884308757 modified "2023-10-16" @default.
- W2884308757 title "Detection of copy number variants and loss of heterozygosity from impure tumor samples using whole exome sequencing data" @default.
- W2884308757 cites W1966936568 @default.
- W2884308757 cites W1973878786 @default.
- W2884308757 cites W1979617384 @default.
- W2884308757 cites W1986522151 @default.
- W2884308757 cites W2002843742 @default.
- W2884308757 cites W2006288875 @default.
- W2884308757 cites W2022603493 @default.
- W2884308757 cites W2047361940 @default.
- W2884308757 cites W2049997041 @default.
- W2884308757 cites W2060084956 @default.
- W2884308757 cites W2063382533 @default.
- W2884308757 cites W2097360336 @default.
- W2884308757 cites W2104224322 @default.
- W2884308757 cites W2104595023 @default.
- W2884308757 cites W2105103362 @default.
- W2884308757 cites W2108234281 @default.
- W2884308757 cites W2113649367 @default.
- W2884308757 cites W2114034064 @default.
- W2884308757 cites W2118521406 @default.
- W2884308757 cites W2118526609 @default.
- W2884308757 cites W2122040228 @default.
- W2884308757 cites W2127214385 @default.
- W2884308757 cites W2133174470 @default.
- W2884308757 cites W2133339454 @default.
- W2884308757 cites W2137779717 @default.
- W2884308757 cites W2144222696 @default.
- W2884308757 cites W2144759168 @default.
- W2884308757 cites W2146948473 @default.
- W2884308757 cites W2153065499 @default.
- W2884308757 cites W2154431984 @default.
- W2884308757 cites W2170828133 @default.
- W2884308757 cites W2560367415 @default.
- W2884308757 doi "https://doi.org/10.3892/ol.2018.9150" @default.
- W2884308757 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6126229" @default.
- W2884308757 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30214605" @default.
- W2884308757 hasPublicationYear "2018" @default.
- W2884308757 type Work @default.
- W2884308757 sameAs 2884308757 @default.
- W2884308757 citedByCount "2" @default.
- W2884308757 countsByYear W28843087572021 @default.
- W2884308757 crossrefType "journal-article" @default.
- W2884308757 hasAuthorship W2884308757A5006085047 @default.
- W2884308757 hasAuthorship W2884308757A5011137663 @default.
- W2884308757 hasAuthorship W2884308757A5014371590 @default.
- W2884308757 hasAuthorship W2884308757A5026475770 @default.
- W2884308757 hasAuthorship W2884308757A5036647389 @default.
- W2884308757 hasBestOaLocation W28843087571 @default.
- W2884308757 hasConcept C104317684 @default.
- W2884308757 hasConcept C10590036 @default.
- W2884308757 hasConcept C143589142 @default.
- W2884308757 hasConcept C16671776 @default.
- W2884308757 hasConcept C180754005 @default.
- W2884308757 hasConcept C36823959 @default.
- W2884308757 hasConcept C501734568 @default.
- W2884308757 hasConcept C54355233 @default.
- W2884308757 hasConcept C70721500 @default.
- W2884308757 hasConcept C86803240 @default.
- W2884308757 hasConceptScore W2884308757C104317684 @default.
- W2884308757 hasConceptScore W2884308757C10590036 @default.
- W2884308757 hasConceptScore W2884308757C143589142 @default.
- W2884308757 hasConceptScore W2884308757C16671776 @default.
- W2884308757 hasConceptScore W2884308757C180754005 @default.
- W2884308757 hasConceptScore W2884308757C36823959 @default.
- W2884308757 hasConceptScore W2884308757C501734568 @default.
- W2884308757 hasConceptScore W2884308757C54355233 @default.
- W2884308757 hasConceptScore W2884308757C70721500 @default.
- W2884308757 hasConceptScore W2884308757C86803240 @default.
- W2884308757 hasLocation W28843087571 @default.
- W2884308757 hasLocation W28843087572 @default.
- W2884308757 hasLocation W28843087573 @default.
- W2884308757 hasLocation W28843087574 @default.
- W2884308757 hasOpenAccess W2884308757 @default.
- W2884308757 hasPrimaryLocation W28843087571 @default.
- W2884308757 hasRelatedWork W191236049 @default.
- W2884308757 hasRelatedWork W2027933159 @default.
- W2884308757 hasRelatedWork W2109061837 @default.
- W2884308757 hasRelatedWork W2170750428 @default.
- W2884308757 hasRelatedWork W2171268732 @default.
- W2884308757 hasRelatedWork W2338872041 @default.
- W2884308757 hasRelatedWork W2578404270 @default.
- W2884308757 hasRelatedWork W2762332730 @default.
- W2884308757 hasRelatedWork W3153738493 @default.
- W2884308757 hasRelatedWork W3214890182 @default.
- W2884308757 isParatext "false" @default.
- W2884308757 isRetracted "false" @default.
- W2884308757 magId "2884308757" @default.
- W2884308757 workType "article" @default.