Add to ORKGAn ensemble approach to microarray data-based gene prioritization after missing value imputatio
Robustified MANOVA with applications in detecting differentially expressed genes from oligonucleotid...
Analyzing DNA microarray data sets is a great challenge, which faces the bioinformaticians due to th...
Quick calculation for sample size while controlling false discovery rate with application to microar...
The influence of missing value imputation on detection of differentially expressed genes from microa...
Statistical assessment of functional categories of genes deregulated in pathological conditions by u...
Exploiting sample variability to enhance multivariate analysis of microarray dat
Exploring the functional landscape of gene expression: directed search of large microarray compendi
Abstract. Microarrays have unique ability to probe thousands of genes at a time that makes it a usef...
Identification of aberrant chromosomal regions from gene expression microarray studies applied to hu...
Author name used in this manuscript: K. O. ChengAuthor name used in this manuscript: N. F. LawAuthor...
BMC Genomics ISI Document Delivery No.: 565GZ Times Cited: 11 Cited Reference Count: 84 Celton, Maga...
Most of the gene expression data analysis algorithms require the entire gene expression matrix witho...
ABSTRACT: In this era, DNA microarray technology is used combining with different data mining proces...
Clustering microarray-derived gene lists through implicit literature relationship
Classification based upon gene expression data: bias and precision of error rate
Robustified MANOVA with applications in detecting differentially expressed genes from oligonucleotid...
Analyzing DNA microarray data sets is a great challenge, which faces the bioinformaticians due to th...
Quick calculation for sample size while controlling false discovery rate with application to microar...
The influence of missing value imputation on detection of differentially expressed genes from microa...
Statistical assessment of functional categories of genes deregulated in pathological conditions by u...
Exploiting sample variability to enhance multivariate analysis of microarray dat
Exploring the functional landscape of gene expression: directed search of large microarray compendi
Abstract. Microarrays have unique ability to probe thousands of genes at a time that makes it a usef...
Identification of aberrant chromosomal regions from gene expression microarray studies applied to hu...
Author name used in this manuscript: K. O. ChengAuthor name used in this manuscript: N. F. LawAuthor...
BMC Genomics ISI Document Delivery No.: 565GZ Times Cited: 11 Cited Reference Count: 84 Celton, Maga...
Most of the gene expression data analysis algorithms require the entire gene expression matrix witho...
ABSTRACT: In this era, DNA microarray technology is used combining with different data mining proces...
Clustering microarray-derived gene lists through implicit literature relationship
Classification based upon gene expression data: bias and precision of error rate
Robustified MANOVA with applications in detecting differentially expressed genes from oligonucleotid...
Analyzing DNA microarray data sets is a great challenge, which faces the bioinformaticians due to th...
Quick calculation for sample size while controlling false discovery rate with application to microar...