AbstractCancers originating from epithelial cells are the most common malignancies. No common expression profile of solid tumors compared to normal tissues has been described so far. Therefore we were interested if genes differentially expressed in the majority of carcinomas could be identified using bioinformatic methods. Complete data sets were downloaded for carcinomas of the prostate, breast, lung, ovary, colon, pancreas, stomach, bladder, liver, and kidney, and were subjected to an expression analysis using SAM. In each experiment, a gene was scored as differentially expressed if the q value was below 25%. Probe identifiers were unified by comparing the respective probe sequences to the Unigene build 155 using BIastN. To obtain differe...
Abstract Background We have identified a set of genes whose relative mRNA expression levels in vario...
Abstract- Cells are building blocks of living things. Normal cells multiply when body needs them and...
The majority of microarray studies focus on analysis of gene expression differences between various ...
AbstractCancers originating from epithelial cells are the most common malignancies. No common expres...
Cancers originating from epithelial cells are the most common malignancies. No common expression pro...
Cancers originating from epithelial cells are the most common malignancies. No common expression pro...
Whole-genome profiling of gene expression is a powerful tool for identifying cancer-associated genes...
Rapid accumulation and availability of gene expression datasets in public repositories have enabled ...
Rapid accumulation and availability of gene expression datasets in public repositories have enabled ...
<p>INTRODUCTION: Parallel gene-expression monitoring is a powerful tool for analyzing relationships ...
Microarray technology enables a standardized, objective assessment of oncological diagnosis and prog...
Motivation: To understand cancer etiology, it is important to explore molecular changes in cellular ...
AbstractSequence tag count-based gene expression analysis is potent for the identification of candid...
Background. Microarray technology enables a standardized, objective assessment of oncological diagno...
Microarray technology enables a standardized, objective assessment of oncological diagnosis and prog...
Abstract Background We have identified a set of genes whose relative mRNA expression levels in vario...
Abstract- Cells are building blocks of living things. Normal cells multiply when body needs them and...
The majority of microarray studies focus on analysis of gene expression differences between various ...
AbstractCancers originating from epithelial cells are the most common malignancies. No common expres...
Cancers originating from epithelial cells are the most common malignancies. No common expression pro...
Cancers originating from epithelial cells are the most common malignancies. No common expression pro...
Whole-genome profiling of gene expression is a powerful tool for identifying cancer-associated genes...
Rapid accumulation and availability of gene expression datasets in public repositories have enabled ...
Rapid accumulation and availability of gene expression datasets in public repositories have enabled ...
<p>INTRODUCTION: Parallel gene-expression monitoring is a powerful tool for analyzing relationships ...
Microarray technology enables a standardized, objective assessment of oncological diagnosis and prog...
Motivation: To understand cancer etiology, it is important to explore molecular changes in cellular ...
AbstractSequence tag count-based gene expression analysis is potent for the identification of candid...
Background. Microarray technology enables a standardized, objective assessment of oncological diagno...
Microarray technology enables a standardized, objective assessment of oncological diagnosis and prog...
Abstract Background We have identified a set of genes whose relative mRNA expression levels in vario...
Abstract- Cells are building blocks of living things. Normal cells multiply when body needs them and...
The majority of microarray studies focus on analysis of gene expression differences between various ...