LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data.

MLA

Geeven, G., et al. “LLM3D: A Log-Linear Modeling-Based Method to Predict Functional Gene Regulatory Interactions from Genome-Wide Expression Data.” Nucleic Acids Research Vol.39 (2011) p.5313-5327 [ISSN 0305-1048], 2011. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1367036950&authtype=sso&custid=ns315887.

APA

Geeven, G., Macgillavry, H. D., Eggers, R., Sassen, M. M., Verhaagen, J., Smit, A. B., De Gunst, M. C., & Van Kesteren, R. E. (2011). LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data. Nucleic Acids Research Vol.39 (2011) p.5313-5327 [ISSN 0305-1048].

Chicago

Geeven, G., H.D. Macgillavry, R. Eggers, M.M. Sassen, J. Verhaagen, A.B. Smit, M.C. De Gunst, and R.E. Van Kesteren. 2011. “LLM3D: A Log-Linear Modeling-Based Method to Predict Functional Gene Regulatory Interactions from Genome-Wide Expression Data.” Nucleic Acids Research Vol.39 (2011) p.5313-5327 [ISSN 0305-1048]. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1367036950&authtype=sso&custid=ns315887.