Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification
Authors
Keywords
-
Journal
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Volume 60, Issue 3, Pages 663-681
Publisher
Springer Science and Business Media LLC
Online
2022-01-14
DOI
10.1007/s11517-021-02476-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Implication of Ataxia-Telangiectasia-mutated kinase in epithelium-mesenchyme transition
- (2021) Tianyu Miao et al. CARCINOGENESIS
- A Novel XGBoost Method to Infer the Primary Lesion of 20 Solid Tumor Types From Gene Expression Data
- (2021) Sijie Chen et al. Frontiers in Genetics
- ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification
- (2020) Min Li et al. KNOWLEDGE-BASED SYSTEMS
- Inhibition of ABCC6 Transporter Modifies Cytoskeleton and Reduces Motility of HepG2 Cells via Purinergic Pathway
- (2020) Angela Ostuni et al. Cells
- A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting
- (2020) Muhammad Syafrudin et al. Mathematics
- Improving Recurrence Prediction Accuracy of Ovarian Cancer Using Multi-phase Feature Selection Methodology
- (2020) S. Sujamol et al. APPLIED ARTIFICIAL INTELLIGENCE
- Hybrid feature selection using micro genetic algorithm on microarray gene expression data
- (2019) C. Pragadeesh et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Gene Expression Value Prediction Based on XGBoost Algorithm
- (2019) Wei Li et al. Frontiers in Genetics
- A steel property optimization model based on the XGBoost algorithm and improved PSO
- (2019) Kai Song et al. COMPUTATIONAL MATERIALS SCIENCE
- Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining
- (2018) Ryan J. Urbanowicz et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Radiation Dose Exposure for Lumbar Transforaminal Epidural Steroid Injections and Facet Joint Blocks Under CT vs. Fluoroscopic Guidance
- (2018) Paolo Maino et al. Pain Practice
- TRF1 AS A MAJOR CONTRIBUTOR FOR TELOMERES` SHORTENING IN THE CONTEXT OF OBESITY
- (2018) Lucas Kich Grun et al. FREE RADICAL BIOLOGY AND MEDICINE
- Genetic algorithm based cancerous gene identification from microarray data using ensemble of filter methods
- (2018) Manosij Ghosh et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- CD59 is a potential biomarker of esophageal squamous cell carcinoma radioresistance by affecting DNA repair
- (2018) Yuzhen Zhou et al. Cell Death & Disease
- Association between the polymorphism (rs17222919, −1316T/G) of 5-lipoxygenase-activating protein gene (ALOX5AP) and the risk of stroke
- (2018) Hui Ye et al. MEDICINE
- A Nested Genetic Algorithm for feature selection in high-dimensional cancer Microarray datasets
- (2018) Sabah Sayed et al. EXPERT SYSTEMS WITH APPLICATIONS
- Development of a two-stage gene selection method that incorporates a novel hybrid approach using the cuckoo optimization algorithm and harmony search for cancer classification
- (2017) V. Elyasigomari et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A hybrid feature selection algorithm for gene expression data classification
- (2017) Huijuan Lu et al. NEUROCOMPUTING
- DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm
- (2015) Othman Soufan et al. PLoS One
- Combined FV and FVIII deficiency (F5F8D) in a Chinese family with a novel missense mutation in MCFD2 gene
- (2014) A. Wang et al. HAEMOPHILIA
- An Improved Ensemble Learning Method for Classifying High-Dimensional and Imbalanced Biomedicine Data
- (2014) Hualong Yu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
- (2012) C. Lazar et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A novel hybrid feature selection method for microarray data analysis
- (2009) Chien-Pang Lee et al. APPLIED SOFT COMPUTING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started