相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy
Chen Lin et al.
NEUROCOMPUTING (2014)
An efficient and robust artificial bee colony algorithm for numerical optimization
Wan-li Xiang et al.
COMPUTERS & OPERATIONS RESEARCH (2013)
Automatic detection of erythemato-squamous diseases using PSO-SVM based on association rules
Mohammad Javad Abdi et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2013)
Hierarchical Classification of Protein Folds Using a Novel Ensemble Classifier
Chen Lin et al.
PLOS ONE (2013)
A Novel Weighted Support Vector Machine Based on Particle Swarm Optimization for Gene Selection and Tumor Classification
Mohammad Javad Abdi et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2012)
Microarray gene expression classification with few genes: Criteria to combine attribute selection and classification methods
Carlos J. Alonso-Gonzalez et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
A novel hybrid feature selection method for microarray data analysis
Chien-Pang Lee et al.
APPLIED SOFT COMPUTING (2011)
Gene selection and sample classification on microarray data based on adaptive genetic algorithm/k-nearest neighbor method
Chien-Pang Lee et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Ensemble gene selection by grouping for microarray data classification
Huawen Liu et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2010)
Gene and sample selection for cancer classification with support vectors based t-statistic
Piyushkumar A. Mundra et al.
NEUROCOMPUTING (2010)
Prediction of Deleterious Non-Synonymous SNPs Based on Protein Interaction Network and Hybrid Properties
Tao Huang et al.
PLOS ONE (2010)
A Modified Ant Colony Optimization Algorithm for Tumor Marker Gene Selection
Hualong Yu et al.
GENOMICS PROTEOMICS & BIOINFORMATICS (2010)
A comparative study of Artificial Bee Colony algorithm
Dervis Karaboga et al.
APPLIED MATHEMATICS AND COMPUTATION (2009)
Analysis of DNA microarray expression data
Richard Simon
BEST PRACTICE & RESEARCH CLINICAL HAEMATOLOGY (2009)
Multi-class cancer classification through gene expression profiles: microRNA versus mRNA
Sihua Peng et al.
JOURNAL OF GENETICS AND GENOMICS (2009)
On the performance of artificial bee colony (ABC) algorithm
D. Karaboga et al.
APPLIED SOFT COMPUTING (2008)
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
Dervis Karaboga et al.
JOURNAL OF GLOBAL OPTIMIZATION (2007)
Microarray data classification using automatic SVM kernel selection
Jesmin Nahar et al.
DNA AND CELL BIOLOGY (2007)
ESVM: Evolutionary support vector machine for automatic feature selection and classification of microarray data
Hui-Ling Huang et al.
BIOSYSTEMS (2007)
Multicategory classification using an Extreme Learning Machine for Microarray gene expression cancer diagnosis
Runxuan Zhang et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2007)
Selecting a minimal number of relevant genes from microarray data to design accurate tissue classifiers
Hui-Ling Huang et al.
BIOSYSTEMS (2007)
A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification
Qi Shen et al.
TALANTA (2007)
Gene selection and classification of microarray data using random forest -: art. no. 3
R Díaz-Uriarte et al.
BMC BIOINFORMATICS (2006)
Applications of support vector machines to cancer classification with microarray data
F Chu et al.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS (2005)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines
SH Peng et al.
FEBS LETTERS (2003)
Gene-expression profiles predict survival of patients with lung adenocarcinoma
DG Beer et al.
NATURE MEDICINE (2002)
MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia
SA Armstrong et al.
NATURE GENETICS (2002)
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
J Khan et al.
NATURE MEDICINE (2001)
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
AA Alizadeh et al.
NATURE (2000)