Learning restricted Boolean network model by time-series data
نویسندگان
چکیده
منابع مشابه
Learning restricted Boolean network model by time-series data
Restricted Boolean networks are simplified Boolean networks that are required for either negative or positive regulations between genes. Higa et al. (BMC Proc 5:S5, 2011) proposed a three-rule algorithm to infer a restricted Boolean network from time-series data. However, the algorithm suffers from a major drawback, namely, it is very sensitive to noise. In this paper, we systematically analyze...
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ژورنال
عنوان ژورنال: EURASIP Journal on Bioinformatics and Systems Biology
سال: 2014
ISSN: 1687-4153
DOI: 10.1186/s13637-014-0010-5