Inferring Time-Varying Network Topologies from Gene Expression Data

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Inferring Time-Varying Network Topologies from Gene Expression Data

Most current methods for gene regulatory network identification lead to the inference of steady-state networks, that is, networks prevalent over all times, a hypothesis which has been challenged. There has been a need to infer and represent networks in a dynamic, that is, time-varying fashion, in order to account for different cellular states affecting the interactions amongst genes. In this wo...

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ژورنال

عنوان ژورنال: EURASIP Journal on Bioinformatics and Systems Biology

سال: 2007

ISSN: 1687-4145

DOI: 10.1155/2007/51947