Related references
Note: Only part of the references are listed.Robust biomarker identification for cancer diagnosis with ensemble feature selection methods
Thomas Abeel et al.
BIOINFORMATICS (2010)
Margin-Maximizing Feature Elimination Methods for Linear and Nonlinear Kernel-Based Discriminant Functions
Yaman Aksu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
Model population analysis for variable selection
Hong-Dong Li et al.
JOURNAL OF CHEMOMETRICS (2010)
Recipe for revealing informative metabolites based on model population analysis
Hong-Dong Li et al.
METABOLOMICS (2010)
Support vector machines and its applications in chemistry
Hongdong Li et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2009)
Successive projections algorithm combined with uninformative variable elimination for spectral variable selection
Shengfeng Ye et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2008)
A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra
Wensheng Cai et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2008)
The Dantzig selector:: Statistical estimation when p is much larger than n
Emmanuel Candes et al.
ANNALS OF STATISTICS (2007)
Representative subset selection in modified iterative predictor weighting (mIPW) - PLS models for parsimonious multivariate calibration
Da Chen et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2007)
Variable selection for support vector machine based multisensor systems
O. Gualdron et al.
SENSORS AND ACTUATORS B-CHEMICAL (2007)
What is a support vector machine?
William S. Noble
NATURE BIOTECHNOLOGY (2006)
Retention prediction of peptides based on uninformative variable elimination by partial least squares
R. Put et al.
JOURNAL OF PROTEOME RESEARCH (2006)
Regularized ROC method for disease classification and biomarker selection with microarray data
SG Ma et al.
BIOINFORMATICS (2005)
Prediction of siRNA functionality using generalized string kernel and support vector machine
R Teramoto et al.
FEBS LETTERS (2005)
An Entropy-based gene selection method for cancer classification using microarray data
XX Liu et al.
BMC BIOINFORMATICS (2005)
An Entropy-based gene selection method for cancer classification using microarray data
XX Liu et al.
BMC BIOINFORMATICS (2005)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
A Background and noise elimination method for quantitative calibration of near infrared spectra
D Chen et al.
ANALYTICA CHIMICA ACTA (2004)
The comparative molecular surface analysis (CoMSA) with modified uniformative variable elimination-PLS (UVE-PLS) method: Application to the steroids binding the aromatase enzyme
J Polanski et al.
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2003)
Tumor classification by partial least squares using microarray gene expression data
DV Nguyen et al.
BIOINFORMATICS (2002)
Gene selection for cancer classification using support vector machines
I Guyon et al.
MACHINE LEARNING (2002)
Comparison of discrimination methods for the classification of tumors using gene expression data
S Dudoit et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)
Predicting the clinical status of human breast cancer by using gene expression profiles
M West et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2001)
Systematic variation in gene expression patterns in human cancer cell lines
DT Ross et al.
NATURE GENETICS (2000)
Tissue classification with gene expression profiles
A Ben-Dor et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2000)
Application of the modified UVE-PLS method for a mid-infrared absorption spectral data set of water-ethanol mixtures
J Koshoubu et al.
APPLIED SPECTROSCOPY (2000)
Share Paper
