Cite
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties.
MLA
Pugalenthi, Ganesan, et al. “A Machine Learning Approach for the Identification of Odorant Binding Proteins from Sequence-Derived Properties.” BMC Bioinformatics, vol. 8, Jan. 2007, pp. 351–57. EBSCOhost, https://doi.org/10.1186/1471-2105-8-351.
APA
Pugalenthi, G., Ke Tang, Suganthan, P. N., Archunan, G., & Sowdhamini, R. (2007). A machine learning approach for the identification of odorant binding proteins from sequence-derived properties. BMC Bioinformatics, 8, 351–357. https://doi.org/10.1186/1471-2105-8-351
Chicago
Pugalenthi, Ganesan, Ke Tang, P. N. Suganthan, G. Archunan, and R. Sowdhamini. 2007. “A Machine Learning Approach for the Identification of Odorant Binding Proteins from Sequence-Derived Properties.” BMC Bioinformatics 8 (January): 351–57. doi:10.1186/1471-2105-8-351.