Identifying biological themes within lists of genes with EASE
Top Cited Papers
Open Access
- 11 September 2003
- journal article
- research article
- Published by Springer Nature in Genome Biology
- Vol. 4 (10) , R70
- https://doi.org/10.1186/gb-2003-4-10-r70
Abstract
EASE is a customizable software application for rapid biological interpretation of gene lists that result from the analysis of microarray, proteomics, SAGE and other high-throughput genomic data. The biological themes returned by EASE recapitulate manually determined themes in previously published gene lists and are robust to varying methods of normalization, intensity calculation and statistical selection of genes. EASE is a powerful tool for rapidly converting the results of functional genomics studies from 'genes' to 'themes'.Keywords
This publication has 30 references indexed in Scilit:
- A method for the comprehensive proteomic analysis of membrane proteinsNature Biotechnology, 2003
- Transcript profiling of human platelets using microarray and serial analysis of gene expressionBlood, 2003
- The FlyBase database of the Drosophila genome projects and community literatureNucleic Acids Research, 2003
- From patterns to pathways: gene expression data analysis comes of ageNature Genetics, 2002
- Microarray data normalization and transformationNature Genetics, 2002
- Oligonucleotide microarray data distribution and normalizationInformation Sciences, 2002
- DNA Microarray Technology: Devices, Systems, and ApplicationsAnnual Review of Biomedical Engineering, 2002
- GenMAPP, a new tool for viewing and analyzing microarray data on biological pathwaysNature Genetics, 2002
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001
- Bootstrap Methods: Another Look at the JackknifeThe Annals of Statistics, 1979