Add to ORKGHaving identified differentially regulated genes, the final and most labour intensive part of the analysis process is drawing biological conclusions and hypothesises about the data. A novel solution is presented which combines experimental data with a curated annotation sources along with analysis tools to assist the researcher in exploring the information contained within their dataset
Microarrays are one of the latest breakthroughs in experimental molecular biology that allow monitor...
The aspiration to understand the molecular complexities of the human body to the highest level in an...
Differential expression (DE) analysis is performed to identify genes associated to a phenotype based...
Having identified differentially regulated genes, the final and most labour intensive part of the an...
Having identified differentially regulated genes, the final and most labour intensive part of the an...
Many different strategies have been developed for the analysis of microarray data and these have a s...
AbstractData originating from biomedical experiments has provided machine learning researchers with ...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mi...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The novel molecular biological technology, microarray, makes it feasible to obtain quantitative meas...
High-throughput gene expression datasets (including RNA-seq and microarray datasets) can quantify th...
This thesis describes the development of different bioinformatics resources and data-mining strategi...
textabstractThis thesis describes the development of text-mining algorithms for molecular biology,...
International audienceThis paper discusses different approaches for integrating biological knowledge...
Summary: The process of identifying differentially expressed genes in miroarray studies with small s...
Microarrays are one of the latest breakthroughs in experimental molecular biology that allow monitor...
The aspiration to understand the molecular complexities of the human body to the highest level in an...
Differential expression (DE) analysis is performed to identify genes associated to a phenotype based...
Having identified differentially regulated genes, the final and most labour intensive part of the an...
Having identified differentially regulated genes, the final and most labour intensive part of the an...
Many different strategies have been developed for the analysis of microarray data and these have a s...
AbstractData originating from biomedical experiments has provided machine learning researchers with ...
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Mi...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The novel molecular biological technology, microarray, makes it feasible to obtain quantitative meas...
High-throughput gene expression datasets (including RNA-seq and microarray datasets) can quantify th...
This thesis describes the development of different bioinformatics resources and data-mining strategi...
textabstractThis thesis describes the development of text-mining algorithms for molecular biology,...
International audienceThis paper discusses different approaches for integrating biological knowledge...
Summary: The process of identifying differentially expressed genes in miroarray studies with small s...
Microarrays are one of the latest breakthroughs in experimental molecular biology that allow monitor...
The aspiration to understand the molecular complexities of the human body to the highest level in an...
Differential expression (DE) analysis is performed to identify genes associated to a phenotype based...