SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2041-1723
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification ; volume:13 ; number:1 ; day:25 ; month:10 ; year:2022 ; pages:1-12 ; date:12.2022
Nature Communications ; 13, Heft 1 (25.10.2022), 1-12, 12.2022
- Creator
-
Zhang, Zichen
Bae, Ye Eun
Bradley, Jonathan R.
Wu, Lang
Wu, Chong
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-022-34016-y
- URN
-
urn:nbn:de:101:1-2023011021112080054597
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:29 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhang, Zichen
- Bae, Ye Eun
- Bradley, Jonathan R.
- Wu, Lang
- Wu, Chong
- SpringerLink (Online service)
Other Objects (12)
Pathway trajectory analysis with tensor imputation reveals drug-induced single-cell transcriptomic landscape
Imputation
Multiple imputation is better than KDIGO guidelines for estimating unknown baseline renal function
Unraveling the causal genes and transcriptomic determinants of human telomere length
Zurechnung, Imputation
Summit, California. Panorama from Summit, Mount Tamalpais
DNI-MDCAP: improvement of causal MiRNA-disease association prediction based on deep network imputation
SUMMIT - Weihnachtsproduktion
![Summit, [...]. Hörverstehen](/assets/placeholder/searchResultMediaNoDigitisedMedia.png)
Summit, [...]. Hörverstehen
Summit pragmatism
Summit Arabicum
Transcriptomic imputation of genetic risk variants uncovers novel whole-blood biomarkers of Parkinson’s disease
Pathway trajectory analysis with tensor imputation reveals drug-induced single-cell transcriptomic landscape
Imputation
Multiple imputation is better than KDIGO guidelines for estimating unknown baseline renal function
Unraveling the causal genes and transcriptomic determinants of human telomere length
Zurechnung, Imputation
Summit, California. Panorama from Summit, Mount Tamalpais
DNI-MDCAP: improvement of causal MiRNA-disease association prediction based on deep network imputation
SUMMIT - Weihnachtsproduktion
Summit, [...]. Hörverstehen
Summit pragmatism
Summit Arabicum
Transcriptomic imputation of genetic risk variants uncovers novel whole-blood biomarkers of Parkinson’s disease
Pathway trajectory analysis with tensor imputation reveals drug-induced single-cell transcriptomic landscape
Imputation
Multiple imputation is better than KDIGO guidelines for estimating unknown baseline renal function
Unraveling the causal genes and transcriptomic determinants of human telomere length
Zurechnung, Imputation
Summit, California. Panorama from Summit, Mount Tamalpais
DNI-MDCAP: improvement of causal MiRNA-disease association prediction based on deep network imputation
SUMMIT - Weihnachtsproduktion
Summit, [...]. Hörverstehen
Summit pragmatism
Summit Arabicum