Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285491187> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4285491187 abstract "Abstract Noise-induced hearing loss (NIHL) is related to noise exposure and whether humans suffered from NIHL is also related to different sensitivity to noise. Whole exome sequencing (WES) can detect the genetic mutations of NIHL population so as to find the susceptibility of different people from the genetic level. WES can identify contributing genes, not only find NIHL susceptibility genes, but also divide patient cohort into different subtypes. We conducted a case-control (n = 78, n = 35, respectively) study to find the susceptibility genes of NIHL through WES and stratified the cases into subtypes, so as to achieve the purpose of precision medicine. 73 gene variants were used to train the unsupervised machine learning model which separated the case from the control group and divide the population into two subtypes. Supervised machine learning methods compared the above constructed subgroup classification models. This is the first study to link NIHL with gene variants and has produced a new potential classification method that can be applied to precision medicine in people’s different sensitivity to noise. These observations deserve further study on independent and larger clinical samples in order to provide new information for future research on the susceptibility of NIHL." @default.
- W4285491187 created "2022-07-15" @default.
- W4285491187 creator A5000093816 @default.
- W4285491187 creator A5017810530 @default.
- W4285491187 creator A5023375469 @default.
- W4285491187 creator A5030921116 @default.
- W4285491187 creator A5049586971 @default.
- W4285491187 creator A5054228072 @default.
- W4285491187 creator A5057107257 @default.
- W4285491187 creator A5059374757 @default.
- W4285491187 creator A5071855419 @default.
- W4285491187 creator A5073216396 @default.
- W4285491187 creator A5074719037 @default.
- W4285491187 creator A5077666157 @default.
- W4285491187 date "2022-07-15" @default.
- W4285491187 modified "2023-10-03" @default.
- W4285491187 title "Machine Learning Model Identifies Genomic Variation in Noise-Induced Hearing Loss via Whole-exome Sequencing" @default.
- W4285491187 doi "https://doi.org/10.21203/rs.3.rs-1829497/v1" @default.
- W4285491187 hasPublicationYear "2022" @default.
- W4285491187 type Work @default.
- W4285491187 citedByCount "0" @default.
- W4285491187 crossrefType "posted-content" @default.
- W4285491187 hasAuthorship W4285491187A5000093816 @default.
- W4285491187 hasAuthorship W4285491187A5017810530 @default.
- W4285491187 hasAuthorship W4285491187A5023375469 @default.
- W4285491187 hasAuthorship W4285491187A5030921116 @default.
- W4285491187 hasAuthorship W4285491187A5049586971 @default.
- W4285491187 hasAuthorship W4285491187A5054228072 @default.
- W4285491187 hasAuthorship W4285491187A5057107257 @default.
- W4285491187 hasAuthorship W4285491187A5059374757 @default.
- W4285491187 hasAuthorship W4285491187A5071855419 @default.
- W4285491187 hasAuthorship W4285491187A5073216396 @default.
- W4285491187 hasAuthorship W4285491187A5074719037 @default.
- W4285491187 hasAuthorship W4285491187A5077666157 @default.
- W4285491187 hasBestOaLocation W42854911871 @default.
- W4285491187 hasConcept C104317684 @default.
- W4285491187 hasConcept C10590036 @default.
- W4285491187 hasConcept C115961682 @default.
- W4285491187 hasConcept C119857082 @default.
- W4285491187 hasConcept C154945302 @default.
- W4285491187 hasConcept C16671776 @default.
- W4285491187 hasConcept C2779356876 @default.
- W4285491187 hasConcept C2780493683 @default.
- W4285491187 hasConcept C3018332767 @default.
- W4285491187 hasConcept C41008148 @default.
- W4285491187 hasConcept C501734568 @default.
- W4285491187 hasConcept C54355233 @default.
- W4285491187 hasConcept C548259974 @default.
- W4285491187 hasConcept C70721500 @default.
- W4285491187 hasConcept C71924100 @default.
- W4285491187 hasConcept C86803240 @default.
- W4285491187 hasConcept C99498987 @default.
- W4285491187 hasConceptScore W4285491187C104317684 @default.
- W4285491187 hasConceptScore W4285491187C10590036 @default.
- W4285491187 hasConceptScore W4285491187C115961682 @default.
- W4285491187 hasConceptScore W4285491187C119857082 @default.
- W4285491187 hasConceptScore W4285491187C154945302 @default.
- W4285491187 hasConceptScore W4285491187C16671776 @default.
- W4285491187 hasConceptScore W4285491187C2779356876 @default.
- W4285491187 hasConceptScore W4285491187C2780493683 @default.
- W4285491187 hasConceptScore W4285491187C3018332767 @default.
- W4285491187 hasConceptScore W4285491187C41008148 @default.
- W4285491187 hasConceptScore W4285491187C501734568 @default.
- W4285491187 hasConceptScore W4285491187C54355233 @default.
- W4285491187 hasConceptScore W4285491187C548259974 @default.
- W4285491187 hasConceptScore W4285491187C70721500 @default.
- W4285491187 hasConceptScore W4285491187C71924100 @default.
- W4285491187 hasConceptScore W4285491187C86803240 @default.
- W4285491187 hasConceptScore W4285491187C99498987 @default.
- W4285491187 hasLocation W42854911871 @default.
- W4285491187 hasOpenAccess W4285491187 @default.
- W4285491187 hasPrimaryLocation W42854911871 @default.
- W4285491187 hasRelatedWork W2023522536 @default.
- W4285491187 hasRelatedWork W2163441504 @default.
- W4285491187 hasRelatedWork W2768522891 @default.
- W4285491187 hasRelatedWork W2789958738 @default.
- W4285491187 hasRelatedWork W2891603793 @default.
- W4285491187 hasRelatedWork W3034729068 @default.
- W4285491187 hasRelatedWork W3157589997 @default.
- W4285491187 hasRelatedWork W3196280811 @default.
- W4285491187 hasRelatedWork W4210699339 @default.
- W4285491187 hasRelatedWork W4255876850 @default.
- W4285491187 isParatext "false" @default.
- W4285491187 isRetracted "false" @default.
- W4285491187 workType "article" @default.