Coarse-grained reverse engineering of genetic regulatory networks.
نویسندگان
چکیده
We have modeled genetic regulatory networks in the framework of continuous-time recurrent neural networks. A method for determining the parameters of such networks, given expression level time series data, is introduced and evaluated using artificial data. The method is also applied to a set of actual expression data from the development of rat central nervous system.
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عنوان ژورنال:
- Bio Systems
دوره 55 1-3 شماره
صفحات -
تاریخ انتشار 2000