Genetic analysis of congenital unilateral renal agenesis in children based on next-generation sequencing
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Genetic analysis of congenital unilateral renal agenesis in children based on next-generation sequencing ; day:7 ; month:6 ; year:2024 ; pages:1-7
Pediatric research ; (7.6.2024), 1-7
- Urheber
-
Yang, Huiru
Zhang, Jingzhi
Tang, Yao
Zhong, Qiang
Qian, Wen
Wang, Zhengrong
Zhou, Zunlun
Zhang, Zulong
Pan, Wei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41390-024-03178-4
- URN
-
urn:nbn:de:101:1-2408151259528.223453836765
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:03 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Yang, Huiru
- Zhang, Jingzhi
- Tang, Yao
- Zhong, Qiang
- Qian, Wen
- Wang, Zhengrong
- Zhou, Zunlun
- Zhang, Zulong
- Pan, Wei
- SpringerLink (Online service)
Ähnliche Objekte (12)
Data-driven versus self-similar parameterizations for stochastic advection by Lie transport and location uncertainty
The Current and Future Landscape of the Childhood Myopia Epidemic in China—A Review
Adjusting for population stratification and relatedness with sequencing data
Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
Multi-sectoral efforts are required for decarbonising the building sector: a case in Hong Kong
A robust cis-Mendelian randomization method with application to drug target discovery
Does the inclusion of rare variants improve risk prediction?
How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
Model-based cluster analysis of microarray gene-expression data
Computing and graphing probability values of pearson distributions: a SAS/IML macro
An adaptive gene-level association test for pedigree data
Small Molecules Modulate Liquid‐to‐Solid Transitions in Phase‐Separated Tau Condensates
Data-driven versus self-similar parameterizations for stochastic advection by Lie transport and location uncertainty
The Current and Future Landscape of the Childhood Myopia Epidemic in China—A Review
Adjusting for population stratification and relatedness with sequencing data
Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
Multi-sectoral efforts are required for decarbonising the building sector: a case in Hong Kong
A robust cis-Mendelian randomization method with application to drug target discovery
Does the inclusion of rare variants improve risk prediction?
How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
Model-based cluster analysis of microarray gene-expression data
Computing and graphing probability values of pearson distributions: a SAS/IML macro
An adaptive gene-level association test for pedigree data
Small Molecules Modulate Liquid‐to‐Solid Transitions in Phase‐Separated Tau Condensates
Data-driven versus self-similar parameterizations for stochastic advection by Lie transport and location uncertainty
The Current and Future Landscape of the Childhood Myopia Epidemic in China—A Review
Adjusting for population stratification and relatedness with sequencing data
Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores
Multi-sectoral efforts are required for decarbonising the building sector: a case in Hong Kong
A robust cis-Mendelian randomization method with application to drug target discovery
Does the inclusion of rare variants improve risk prediction?
How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
Model-based cluster analysis of microarray gene-expression data
Computing and graphing probability values of pearson distributions: a SAS/IML macro
An adaptive gene-level association test for pedigree data