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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Probabilistic retrieval and visualization of biologically relevant microarray experiments.

José Caldas1, Nils Gehlenborg, Ali Faisal

  • 1Department of Information and Computer Science, Helsinki Institute for Information Technology, Helsinki University of Technology, Finland. jose.caldas@tkk.fi

Bioinformatics (Oxford, England)
|May 30, 2009
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Summary
This summary is machine-generated.

This study introduces a new method for searching genome-wide experiments using measurement data, not just annotations. This approach helps find studies activating similar biological processes, aiding biological discovery.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Genome-wide experiment repositories like ArrayExpress are growing.
  • Searching for related experiments is increasingly important.
  • Current search methods primarily rely on annotation data.

Purpose of the Study:

  • To develop methods for searching related experiments based on measurement data.
  • To identify experiments where similar biological processes are activated.
  • To uncover both known and unknown biological relationships between studies.

Main Methods:

  • Utilizing probabilistic machine learning techniques.
  • Extracting information on differentially activated biological processes.
  • Developing visualization techniques for interpreting retrieval results.

Main Results:

  • Demonstrated successful retrieval of relevant experiments using measurement data.
  • Case studies on ArrayExpress data confirmed the method's effectiveness.
  • Identified experiments linked to specific biological questions.

Conclusions:

  • Measurement-based searching is a viable alternative to annotation-based searching.
  • The method aids in discovering related biological processes across experiments.
  • Visualization tools enhance the interpretation of experimental relationships.