Abstract
A new server for interpreting microarray results, list to list (L2L), is described. This tool offers a unique approach to understand the meaning of microarray results, based on comparing them to previously identified lists of differentially expressed genes. The usefulness of the server is demonstrated by studying differential expression in primary tumours versus metastases in colon cancer.
| Original language | English |
|---|---|
| Pages (from-to) | 121-122 |
| Journal | Briefings in Bioinformatics |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 2006 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- machine learning
- bioinformatics
- supervised classification
- clustering
- probabilistic graphical models
- optimisation
- heuristic
- genomics
- proteomics
- microarray
- system biology
- evolution
- text mining
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