A novel gene selection algorithm for cancer classification using microarray datasets
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1755-8794
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
A novel gene selection algorithm for cancer classification using microarray datasets ; volume:12 ; number:1 ; day:15 ; month:1 ; year:2019 ; pages:1-12 ; date:12.2019
BMC medical genomics ; 12, Heft 1 (15.1.2019), 1-12, 12.2019
- Urheber
-
Alanni, Russul
Hou, Jingyu
Azzawi, Hasseeb
Xiang, Yong
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12920-018-0447-6
- URN
-
urn:nbn:de:101:1-2019020111043433796960
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 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
- Alanni, Russul
- Hou, Jingyu
- Azzawi, Hasseeb
- Xiang, Yong
- SpringerLink (Online service)
Ähnliche Objekte (12)
Deep gene selection method to select genes from microarray datasets for cancer classification
Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
A gene selection algorithm for microarray cancer classification using an improved particle swarm optimization
Feature selection using differential evolution for microarray data classification
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets
Stable feature selection and classification algorithms for multiclass microarray data
Gene selection and classification of microarray data using random forest
Finding consistent disease subnetworks across microarray datasets
Iterative ensemble feature selection for multiclass classification of imbalanced microarray data
Gene selection for classification of microarray data based on the Bayes error
An Entropy-based gene selection method for cancer classification using microarray data
Cancer microarray data feature selection using Multi-Objective Binary Particle Swarm Optimization algorithm
Deep gene selection method to select genes from microarray datasets for cancer classification
Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
A gene selection algorithm for microarray cancer classification using an improved particle swarm optimization
Feature selection using differential evolution for microarray data classification
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets
Stable feature selection and classification algorithms for multiclass microarray data
Gene selection and classification of microarray data using random forest
Finding consistent disease subnetworks across microarray datasets
Iterative ensemble feature selection for multiclass classification of imbalanced microarray data
Gene selection for classification of microarray data based on the Bayes error
An Entropy-based gene selection method for cancer classification using microarray data
Cancer microarray data feature selection using Multi-Objective Binary Particle Swarm Optimization algorithm
Deep gene selection method to select genes from microarray datasets for cancer classification
Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
A gene selection algorithm for microarray cancer classification using an improved particle swarm optimization
Feature selection using differential evolution for microarray data classification
A scalable association rule learning and recommendation algorithm for large-scale microarray datasets
Stable feature selection and classification algorithms for multiclass microarray data
Gene selection and classification of microarray data using random forest
Finding consistent disease subnetworks across microarray datasets
Iterative ensemble feature selection for multiclass classification of imbalanced microarray data
Gene selection for classification of microarray data based on the Bayes error
An Entropy-based gene selection method for cancer classification using microarray data