List mania: interpreting microarray results with the L2L server

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)121-122
JournalBriefings in Bioinformatics
Volume7
Issue number1
DOIs
StatePublished - Mar 2006

Keywords

  • machine learning
  • bioinformatics
  • supervised classification
  • clustering
  • probabilistic graphical models
  • optimisation
  • heuristic
  • genomics
  • proteomics
  • microarray
  • system biology
  • evolution
  • text mining

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