Linking the genes: inferring quantitative gene networks from microarray data.

Alberto de la Fuente; Paul Brazhnik; Pedro Mendes

doi:10.1016/s0168-9525(02)02692-6

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PubMed · 12142007

Linking the genes: inferring quantitative gene networks from microarray data.

Alberto de la Fuente·Paul Brazhnik·Pedro Mendes

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Abstract

Modern microarray technology is capable of providing data about the expression of thousands of genes, and even of whole genomes. An important question is how this technology can be used most effectively to unravel the workings of cellular machinery. Here, we propose a method to infer genetic networks on the basis of data from appropriately designed microarray experiments. In addition to identifying the genes that affect a specific other gene directly, this method also estimates the strength of such effects. We will discuss both the experimental setup and the theoretical background.

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Animals Computational Biology Data Interpretation, Statistical Humans Oligonucleotide Array Sequence Analysis Signal Transduction Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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Alberto de la Fuente, Paul Brazhnik, Pedro Mendes. 2002. Linking the genes: inferring quantitative gene networks from microarray data.. https://doi.org/10.1016/s0168-9525(02)02692-6

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