pcaExplorer: an R/Bioconductor package for interacting with RNA-seq principal components
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
issn: 1471-2105
- Classification
-
Biowissenschaften, Biologie
- Event
-
Veröffentlichung
- (where)
-
Freiburg
- (who)
-
Universität
- (when)
-
2019
- Creator
- DOI
-
10.1186/s12859-019-2879-1
- URN
-
urn:nbn:de:bsz:25-freidok-1499581
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:28 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
- Marini, Federico
- Binder, Harald
- Universität
Time of origin
- 2019
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Automatic variable selection for exposure‐driven propensity score matching with unmeasured confounders
Interactive and reproducible workflows for exploring and modeling RNA‐seq data with pcaExplorer, ideal, and geneTonic
Flexible semi- and non-parametric modelling and prognosis for discrete outcomes
ideal: an R/Bioconductor package for interactive differential expression analysis
ideal: an R/Bioconductor package for interactive differential expression analysis
Evolution : ein kritisches Lehrbuch
Sequential learning of regression models by penalized estimation
Automatic variable selection for exposure‐driven propensity score matching with unmeasured confounders
Assessing mediating effects of high‐dimensional microbiome measurements in dietary intervention studies
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Deep generative models in DataSHIELD
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