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。Several biplot methods applied to gene expression data
Mira Park et al.
JOURNAL OF STATISTICAL PLANNING AND INFERENCE (2008)
Molecular basis of the differences between normal and tumor tissues of gastric cancer
Sanghwa Yang et al.
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE (2007)
Gene selection via the BAHSIC family of algorithms
Le Song et al.
BIOINFORMATICS (2007)
Selection of relevant genes in cancer diagnosis based on their prediction accuracy
Rosalia Maglietta et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2007)
Novel markers for differentiation of lobular and ductal invasive breast carcinomas by laser microdissection and microarray analysis
Gulisa Turashvili et al.
BMC CANCER (2007)
Importance of data structure in comparing two dimension reduction methods for classification of microarray gene expression data
Caroline Truntzer et al.
BMC BIOINFORMATICS (2007)
Classifications of ovarian cancer tissues by proteomic patterns
Yi Zhu et al.
PROTEOMICS (2006)
Local multidimensional scaling
Jarkko Venna et al.
NEURAL NETWORKS (2006)
A novel ensemble machine learning for robust microarray data classification
Yonghong Peng
COMPUTERS IN BIOLOGY AND MEDICINE (2006)
Molecular signatures in childhood acute leukemia and their correlations to expression patterns in normal hematopoietic subpopulations
A Andersson et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2005)
Gene extraction for cancer diagnosis by support vector machines - An improvement
TM Huang et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2005)
Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
K Dawson et al.
BMC BIOINFORMATICS (2005)
Computational cluster validation in post-genomic data analysis
J Handl et al.
BIOINFORMATICS (2005)
Gene expression data classification with kernel principal component analysis
ZQ Liu et al.
JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY (2005)
Mining the structural knowledge of high-dimensional medical data using Isomap
S Weng et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2005)
A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset
LB Li et al.
GENOMICS (2005)
Approximate geodesic distances reveal biologically relevant structures in microarray data
J Nilsson et al.
BIOINFORMATICS (2004)
Gene expression profiling of gliomas strongly predicts survival
WA Freije et al.
CANCER RESEARCH (2004)
A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression
T Li et al.
BIOINFORMATICS (2004)
Using uncorrelated discriminant analysis for tissue classification with gene expression data
JP Ye et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2004)
Laplacian eigenmaps for dimensionality reduction and data representation
M Belkin et al.
NEURAL COMPUTATION (2003)
Gene-expression profiles predict survival of patients with lung adenocarcinoma
DG Beer et al.
NATURE MEDICINE (2002)
Discriminant analysis to evaluate clustering of gene expression data
MA Méndez et al.
FEBS LETTERS (2002)
Use of proteomic patterns in serum to identify ovarian cancer
EF Petricoin et al.
LANCET (2002)
Prediction of central nervous system embryonal tumour outcome based on gene expression
SL Pomeroy et al.
NATURE (2002)
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
MA Shipp et al.
NATURE MEDICINE (2002)
Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
EJ Yeoh et al.
CANCER CELL (2002)
Gene expression correlates of clinical prostate cancer behavior
D Singh et al.
CANCER CELL (2002)
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis et al.
SCIENCE (2000)
A global geometric framework for nonlinear dimensionality reduction
JB Tenenbaum et al.
SCIENCE (2000)
Normalized cuts and image segmentation
JB Shi et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
AA Alizadeh et al.
NATURE (2000)
Knowledge-based analysis of microarray gene expression data by using support vector machines
MPS Brown et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2000)
Tissue classification with gene expression profiles
A Ben-Dor et al.
JOURNAL OF COMPUTATIONAL BIOLOGY (2000)
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
TS Lim et al.
MACHINE LEARNING (2000)
分享论文
