PWSC: a novel clustering method based on polynomial weight-adjusted sparse clustering for sparse biomedical data and its application in cancer subtyping
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
PWSC: a novel clustering method based on polynomial weight-adjusted sparse clustering for sparse biomedical data and its application in cancer subtyping ; volume:24 ; number:1 ; day:21 ; month:12 ; year:2023 ; pages:1-17 ; date:12.2023
BMC bioinformatics ; 24, Heft 1 (21.12.2023), 1-17, 12.2023
- Urheber
-
Zhang, Xiaomeng
Zhang, Hongtao
Wang, Zhihao
Ma, Xiaofei
Luo, Jiancheng
Zhu, Yingying
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-023-05595-4
- URN
-
urn:nbn:de:101:1-2024030614030653498731
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 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
- Zhang, Xiaomeng
- Zhang, Hongtao
- Wang, Zhihao
- Ma, Xiaofei
- Luo, Jiancheng
- Zhu, Yingying
- SpringerLink (Online service)
Ähnliche Objekte (12)
Sparse and smooth functional data clustering
Sparse polynomial prediction
Sparse signal processing : subspace clustering and system identification
Accelerating Relational Clustering Algorithms With Sparse Prototype Representation
Clustering K-SVD for sparse representation of images
Elastic Deep Sparse Self-Representation Subspace Clustering Network
Bayesian sparse convex clustering via global-local shrinkage priors
Sparse Similarity and Network Navigability for Markov Clustering Enhancement
Sparse polynomial systems in optimization
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning
First-to-fire neurons induced by clustering in sparse networks
A NEW HIERARCHICAL CLUSTERING APPROACH FOR SPARSE MOBILE PHONE TRAJECTORIES
Sparse and smooth functional data clustering
Sparse polynomial prediction
Sparse signal processing : subspace clustering and system identification
Accelerating Relational Clustering Algorithms With Sparse Prototype Representation
Clustering K-SVD for sparse representation of images
Elastic Deep Sparse Self-Representation Subspace Clustering Network
Bayesian sparse convex clustering via global-local shrinkage priors
Sparse Similarity and Network Navigability for Markov Clustering Enhancement
Sparse polynomial systems in optimization
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning
First-to-fire neurons induced by clustering in sparse networks
A NEW HIERARCHICAL CLUSTERING APPROACH FOR SPARSE MOBILE PHONE TRAJECTORIES
Sparse and smooth functional data clustering
Sparse polynomial prediction
Sparse signal processing : subspace clustering and system identification
Accelerating Relational Clustering Algorithms With Sparse Prototype Representation
Clustering K-SVD for sparse representation of images
Elastic Deep Sparse Self-Representation Subspace Clustering Network
Bayesian sparse convex clustering via global-local shrinkage priors
Sparse Similarity and Network Navigability for Markov Clustering Enhancement
Sparse polynomial systems in optimization
Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning
First-to-fire neurons induced by clustering in sparse networks