Several experimental techniques are available nowadays to study the spectrum of genes expressed in a cell at a specific moment. Typically, such methods generate large amounts of expression data that may be hard to interpret. Here we review computational questions and approaches resulting from the various experimental techniques
Biology has entered a challenging, information-intense period where computational experiments are co...
DNA microarrays can measure genome-wide transcript levels. These measurements can be used to build g...
Microarrays provide the biological research community with tremendously rich, sensitive and detailed...
This article reviews the methods utilized in processing and analysis of gene expression data generat...
A gene is a part of Deoxyribonucleic acid (DNA), which contains all the information required to anal...
This article reviews the methods utilized in processing and analysis of gene expression data generat...
The area of transcriptomics analysis is among the more established in computational biology, having ...
Gene expression data form a rich source of information for elucidating the biological function of ce...
AbstractMicroarrays are one of the latest breakthroughs in experimental molecular biology, which all...
Computational analysis methods including machine learning have a significant impact in the fields of...
The expression levels of many thousands of genes can be measured simultaneously by DNA microarrays (...
Objectives: To review the current state of the art in computational methods for the analysis of DNA ...
Motivation: Time series expression experiments are an increasingly popular method for studying a wid...
An important research problem in computational biology is the identification of expression programs,...
Gene expression is the production of the protein that a gene encodes. The analysis of gene expressio...
Biology has entered a challenging, information-intense period where computational experiments are co...
DNA microarrays can measure genome-wide transcript levels. These measurements can be used to build g...
Microarrays provide the biological research community with tremendously rich, sensitive and detailed...
This article reviews the methods utilized in processing and analysis of gene expression data generat...
A gene is a part of Deoxyribonucleic acid (DNA), which contains all the information required to anal...
This article reviews the methods utilized in processing and analysis of gene expression data generat...
The area of transcriptomics analysis is among the more established in computational biology, having ...
Gene expression data form a rich source of information for elucidating the biological function of ce...
AbstractMicroarrays are one of the latest breakthroughs in experimental molecular biology, which all...
Computational analysis methods including machine learning have a significant impact in the fields of...
The expression levels of many thousands of genes can be measured simultaneously by DNA microarrays (...
Objectives: To review the current state of the art in computational methods for the analysis of DNA ...
Motivation: Time series expression experiments are an increasingly popular method for studying a wid...
An important research problem in computational biology is the identification of expression programs,...
Gene expression is the production of the protein that a gene encodes. The analysis of gene expressio...
Biology has entered a challenging, information-intense period where computational experiments are co...
DNA microarrays can measure genome-wide transcript levels. These measurements can be used to build g...
Microarrays provide the biological research community with tremendously rich, sensitive and detailed...