Add to ORKGExploring the functional landscape of gene expression: directed search of large microarray compendi
A multivariate approach for integrating genome-wide expression data and biological knowledg
The high volume and complexity of microarray data has created both opportunities and challenges for ...
textabstractBioinformatics’ is one of the newest fields of biological research, and should be viewed...
microarray technology has resulted in the publication of thousands of microarray gene expression dat...
MOTIVATION: The increasing availability of gene expression microarray technology has resulted in the...
Statistical assessment of functional categories of genes deregulated in pathological conditions by u...
Identification of aberrant chromosomal regions from gene expression microarray studies applied to hu...
We address the problem of using expression data and prior biological knowledge to identify different...
Identifying the biologically relevant gene categories based on gene expression and biological data: ...
The last decade provided biologists with wealth of DNA sequence information. This rich resource is n...
The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics Hi...
Microarray technology has become a standard molecular biology tool. Experimental data have been gene...
A basic, yet challenging task in the analysis of microarray gene ex-pression data is the identificat...
The aspiration to understand the molecular complexities of the human body to the highest level in an...
Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray...
A multivariate approach for integrating genome-wide expression data and biological knowledg
The high volume and complexity of microarray data has created both opportunities and challenges for ...
textabstractBioinformatics’ is one of the newest fields of biological research, and should be viewed...
microarray technology has resulted in the publication of thousands of microarray gene expression dat...
MOTIVATION: The increasing availability of gene expression microarray technology has resulted in the...
Statistical assessment of functional categories of genes deregulated in pathological conditions by u...
Identification of aberrant chromosomal regions from gene expression microarray studies applied to hu...
We address the problem of using expression data and prior biological knowledge to identify different...
Identifying the biologically relevant gene categories based on gene expression and biological data: ...
The last decade provided biologists with wealth of DNA sequence information. This rich resource is n...
The fundamental role of pattern recognition for gene-expression/microarray data in bioinformatics Hi...
Microarray technology has become a standard molecular biology tool. Experimental data have been gene...
A basic, yet challenging task in the analysis of microarray gene ex-pression data is the identificat...
The aspiration to understand the molecular complexities of the human body to the highest level in an...
Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray...
A multivariate approach for integrating genome-wide expression data and biological knowledg
The high volume and complexity of microarray data has created both opportunities and challenges for ...
textabstractBioinformatics’ is one of the newest fields of biological research, and should be viewed...