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Life Sciences
New data from University of Cologne illuminate research in life sciences
June 3rd, 2008
According to a study from Cologne, Germany, "In order to understand the behavior of a gene regulatory network, it is essential to know the genes that belong to it. Identifying the correct members ( e. g., in order to build a model) is a difficult task even for small subnetworks." "Usually only few members of a network are known and one needs to guess the missing members based on experience or informed speculation. It is beneficial if one can additionally rely on experimental data to support this guess. In this work we present a new method based on formal concept analysis to detect unknown members of a gene regulatory network from gene expression time series data. We...
Source: TB & Outbreaks Week (2008-06-03)
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