Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data.
Feb 1, 2007 · Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data.
Oct 22, 2024 · Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data.
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Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data.
In Haseong et al 2007 Boolean networks using the chi-square test for inferring large-scale gene regulatory networks there is an example dataset with 8 genes and ...
Boolean network is one of the commonly used methods for building gene regulatory networks from time series microarray data. However, it has a major drawback ...
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks. Kim H, Lee JK, Park T · BMC Bioinformatics, 8:37, 01 Feb 2007.
Mar 20, 2020 · We propose an efficient statistical method called chi-square test for inferring gene regulatory network.
Missing: large- scale
Park, Boolean networks using the chi-square test for inferring large-scale gene regulatory networks, BMC Bioinformatics, vol. 8, no. 1, p. 37, 2007 ...
In this article, we propose a novel embedded Boolean threshold network method called LogBTF, which effectively infers GRN by integrating regularized logistic ...