Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309719963> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4309719963 abstract "Mutation detecting is a routine work for sequencing data analysis and the trading of existing tools often involves the combinations of signals on a set of overlapped sequencing reads. However, the subclonal mutations, which are reported to contribute to tumor recurrence and metastasis, are sometimes eliminated by existing signals. When the clonal proportion decreases, signals often present ambiguous, while complicated interactions among signals break the IID assumption for most of the machine learning models. Although the mutation callers could lower the thresholds, false positives are significantly introduced. The main aim here was to detect the subclonal mutations with high specificity from the scenario of ambiguous sample purities or clonal proportions. We proposed a novel machine learning approach for filtering false positive calls to accurately detect mutations with wide spectrum subclonal proportion. We have carried out a series of experiments on both simulated and real datasets, and compared to several state-of-art approaches, including freebayes, MuTect2, Sentieon and SiNVICT. The results demonstrated that the proposed method adapts well to different diluted sequencing signals and can significantly reduce the false positive when detecting subclonal mutations. The codes have been uploaded at https://github.com/TrinaZ/TL-fpFilter for academic usage only." @default.
- W4309719963 created "2022-11-29" @default.
- W4309719963 creator A5044625906 @default.
- W4309719963 date "2022-11-22" @default.
- W4309719963 modified "2023-10-14" @default.
- W4309719963 title "TLsub: A transfer learning based enhancement to accurately detect mutations with wide-spectrum sub-clonal proportion" @default.
- W4309719963 cites W1175815497 @default.
- W4309719963 cites W1552046427 @default.
- W4309719963 cites W1912672559 @default.
- W4309719963 cites W2042873848 @default.
- W4309719963 cites W2056132907 @default.
- W4309719963 cites W2065817684 @default.
- W4309719963 cites W2107126369 @default.
- W4309719963 cites W2110171180 @default.
- W4309719963 cites W2111350087 @default.
- W4309719963 cites W2112727616 @default.
- W4309719963 cites W2121679244 @default.
- W4309719963 cites W2138601221 @default.
- W4309719963 cites W2146005104 @default.
- W4309719963 cites W2150506261 @default.
- W4309719963 cites W2152956782 @default.
- W4309719963 cites W2154397429 @default.
- W4309719963 cites W2160978182 @default.
- W4309719963 cites W2165698076 @default.
- W4309719963 cites W2235737683 @default.
- W4309719963 cites W2502504743 @default.
- W4309719963 cites W2517179206 @default.
- W4309719963 cites W2554926829 @default.
- W4309719963 cites W2597490071 @default.
- W4309719963 cites W2770698352 @default.
- W4309719963 cites W2889662582 @default.
- W4309719963 cites W2915919874 @default.
- W4309719963 cites W2951202605 @default.
- W4309719963 cites W2963414887 @default.
- W4309719963 cites W2986448893 @default.
- W4309719963 cites W2995804301 @default.
- W4309719963 cites W3081589248 @default.
- W4309719963 cites W3194965953 @default.
- W4309719963 doi "https://doi.org/10.3389/fgene.2022.981269" @default.
- W4309719963 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36482899" @default.
- W4309719963 hasPublicationYear "2022" @default.
- W4309719963 type Work @default.
- W4309719963 citedByCount "0" @default.
- W4309719963 crossrefType "journal-article" @default.
- W4309719963 hasAuthorship W4309719963A5044625906 @default.
- W4309719963 hasBestOaLocation W43097199631 @default.
- W4309719963 hasConcept C104317684 @default.
- W4309719963 hasConcept C119857082 @default.
- W4309719963 hasConcept C150899416 @default.
- W4309719963 hasConcept C153180895 @default.
- W4309719963 hasConcept C154945302 @default.
- W4309719963 hasConcept C177264268 @default.
- W4309719963 hasConcept C199360897 @default.
- W4309719963 hasConcept C41008148 @default.
- W4309719963 hasConcept C501734568 @default.
- W4309719963 hasConcept C54355233 @default.
- W4309719963 hasConcept C64869954 @default.
- W4309719963 hasConcept C70721500 @default.
- W4309719963 hasConcept C86803240 @default.
- W4309719963 hasConceptScore W4309719963C104317684 @default.
- W4309719963 hasConceptScore W4309719963C119857082 @default.
- W4309719963 hasConceptScore W4309719963C150899416 @default.
- W4309719963 hasConceptScore W4309719963C153180895 @default.
- W4309719963 hasConceptScore W4309719963C154945302 @default.
- W4309719963 hasConceptScore W4309719963C177264268 @default.
- W4309719963 hasConceptScore W4309719963C199360897 @default.
- W4309719963 hasConceptScore W4309719963C41008148 @default.
- W4309719963 hasConceptScore W4309719963C501734568 @default.
- W4309719963 hasConceptScore W4309719963C54355233 @default.
- W4309719963 hasConceptScore W4309719963C64869954 @default.
- W4309719963 hasConceptScore W4309719963C70721500 @default.
- W4309719963 hasConceptScore W4309719963C86803240 @default.
- W4309719963 hasLocation W43097199631 @default.
- W4309719963 hasLocation W43097199632 @default.
- W4309719963 hasLocation W43097199633 @default.
- W4309719963 hasOpenAccess W4309719963 @default.
- W4309719963 hasPrimaryLocation W43097199631 @default.
- W4309719963 hasRelatedWork W2914010220 @default.
- W4309719963 hasRelatedWork W2960456850 @default.
- W4309719963 hasRelatedWork W3021430260 @default.
- W4309719963 hasRelatedWork W4281645081 @default.
- W4309719963 hasRelatedWork W4308262314 @default.
- W4309719963 hasRelatedWork W4312200629 @default.
- W4309719963 hasRelatedWork W4317565044 @default.
- W4309719963 hasRelatedWork W4362719745 @default.
- W4309719963 hasRelatedWork W4382286161 @default.
- W4309719963 hasRelatedWork W4386213806 @default.
- W4309719963 hasVolume "13" @default.
- W4309719963 isParatext "false" @default.
- W4309719963 isRetracted "false" @default.
- W4309719963 workType "article" @default.