DeepGeni: deep generalized interpretable autoencoder elucidates gut microbiota for better cancer immunotherapy
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
DeepGeni: deep generalized interpretable autoencoder elucidates gut microbiota for better cancer immunotherapy ; volume:13 ; number:1 ; day:21 ; month:3 ; year:2023 ; pages:1-8 ; date:12.2023
Scientific reports ; 13, Heft 1 (21.3.2023), 1-8, 12.2023
- Creator
-
Oh, Min
Zhang, Liqing
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-31210-w
- URN
-
urn:nbn:de:101:1-2023080921120716900904
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 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
- Oh, Min
- Zhang, Liqing
- SpringerLink (Online service)
Other Objects (12)
Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis
Spontaneous Concept Learning with Deep Autoencoder
Deep Embedding Clustering Based on Residual Autoencoder
Supervising deep learning models with autoencoder based approaches
Interpretable deep learning methods for multiview learning
A deep auto-encoder model for gene expression prediction
Deep autoencoder for false positive reduction in handgun detection
Single-cell RNA-seq denoising using a deep count autoencoder
Flight maneuver intelligent recognition based on deep variational autoencoder network
GEni | "GENI" | 11
Predicting adverse drug reactions through interpretable deep learning framework
Interpretable patent recommendation with knowledge graph and deep learning
Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis
Spontaneous Concept Learning with Deep Autoencoder
Deep Embedding Clustering Based on Residual Autoencoder
Supervising deep learning models with autoencoder based approaches
Interpretable deep learning methods for multiview learning
A deep auto-encoder model for gene expression prediction
Deep autoencoder for false positive reduction in handgun detection
Single-cell RNA-seq denoising using a deep count autoencoder
Flight maneuver intelligent recognition based on deep variational autoencoder network
GEni | "GENI" | 11
Predicting adverse drug reactions through interpretable deep learning framework
Interpretable patent recommendation with knowledge graph and deep learning
Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis
Spontaneous Concept Learning with Deep Autoencoder
Deep Embedding Clustering Based on Residual Autoencoder
Supervising deep learning models with autoencoder based approaches
Interpretable deep learning methods for multiview learning
A deep auto-encoder model for gene expression prediction
Deep autoencoder for false positive reduction in handgun detection
Single-cell RNA-seq denoising using a deep count autoencoder
Flight maneuver intelligent recognition based on deep variational autoencoder network
GEni | "GENI" | 11
Predicting adverse drug reactions through interpretable deep learning framework