Learning interpretable representations of single-cell multi-omics data with multi-output Gaussian Processes
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: bioRxiv, 2024.11.03.621746v1, 39 S.
- Ereignis
-
Veröffentlichung
- (wo)
-
Frankfurt am Main
- (wer)
-
Universitätsbibliothek Johann Christian Senckenberg
- (wann)
-
2024
- Urheber
- DOI
-
10.1101/2024.11.03.621746
- URN
-
urn:nbn:de:hebis:30:3-877394
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 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
- Moslehi, Zahra
- Büttner, Florian
- Universitätsbibliothek Johann Christian Senckenberg
Entstanden
- 2024
Ähnliche Objekte (12)
Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data
Multi-omics of AML
Systems biology and multi-omics
Multi-omics approaches to disease
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Multi-omics integration for Atrial Fibrillation
Multi-omics analysis of stress-related diseases
Multi-omics in prognosis of hepatocellular carcinoma
MDSi: Multi-omics Database for Setaria italica
Multi-omics analysis of the ageing liver
Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data
Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data
Multi-omics of AML
Systems biology and multi-omics
Multi-omics approaches to disease
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Multi-omics integration for Atrial Fibrillation
Multi-omics analysis of stress-related diseases
Multi-omics in prognosis of hepatocellular carcinoma
MDSi: Multi-omics Database for Setaria italica
Multi-omics analysis of the ageing liver
Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data
Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data
Multi-omics of AML
Systems biology and multi-omics
Multi-omics approaches to disease
Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets
Multi-omics integration for Atrial Fibrillation
Multi-omics analysis of stress-related diseases
Multi-omics in prognosis of hepatocellular carcinoma
MDSi: Multi-omics Database for Setaria italica
Multi-omics analysis of the ageing liver