Identification of epistatic interactions between the human RNA demethylases FTO and ALKBH5 with gene set enrichment analysis informed by differential methylation
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1753-6561
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Identification of epistatic interactions between the human RNA demethylases FTO and ALKBH5 with gene set enrichment analysis informed by differential methylation ; volume:12 ; number:9 ; day:17 ; month:9 ; year:2018 ; pages:61-65 ; date:9.2018
BMC proceedings / Biomed Central; 12, Heft 9 (17.9.2018), 61-65, 9.2018
- Creator
-
Piette, Elizabeth R.
- Contributor
-
Moore, Jason H.
SpringerLink (Online service)
- DOI
-
10.1186/s12919-018-0122-0
- URN
-
urn:nbn:de:101:1-2018110313223442103351
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:49 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
- Piette, Elizabeth R.
- Moore, Jason H.
- SpringerLink (Online service)
Other Objects (12)
Is the evolution metaphor still necessary or even useful for genetic programming?
Ten important roles for academic leaders in data science
Empowering the data science scientist
Principal component gene set enrichment (PCGSE)
Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection
A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions
The central role of biological data mining in connecting diverse disciplines
The disconnect between classical biostatistics and the biological data mining community
Innovation is often unnerving: the door into summer
Mining beyond the exome
The golden era of biomedical informatics has begun
Is the evolution metaphor still necessary or even useful for genetic programming?
Ten important roles for academic leaders in data science
Empowering the data science scientist
Principal component gene set enrichment (PCGSE)
Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection
A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions
The central role of biological data mining in connecting diverse disciplines
The disconnect between classical biostatistics and the biological data mining community
Innovation is often unnerving: the door into summer
Mining beyond the exome
The golden era of biomedical informatics has begun
Is the evolution metaphor still necessary or even useful for genetic programming?
Ten important roles for academic leaders in data science
Empowering the data science scientist
Principal component gene set enrichment (PCGSE)
Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection
A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions
The central role of biological data mining in connecting diverse disciplines
The disconnect between classical biostatistics and the biological data mining community
Innovation is often unnerving: the door into summer
Mining beyond the exome