Cite
A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm.
MLA
Baliarsingh, Santos Kumar, et al. “A New Optimal Gene Selection Approach for Cancer Classification Using Enhanced Jaya-Based Forest Optimization Algorithm.” Neural Computing & Applications, vol. 32, no. 12, June 2020, pp. 8599–616. EBSCOhost, https://doi.org/10.1007/s00521-019-04355-x.
APA
Baliarsingh, S. K., Vipsita, S., & Dash, B. (2020). A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm. Neural Computing & Applications, 32(12), 8599–8616. https://doi.org/10.1007/s00521-019-04355-x
Chicago
Baliarsingh, Santos Kumar, Swati Vipsita, and Bodhisattva Dash. 2020. “A New Optimal Gene Selection Approach for Cancer Classification Using Enhanced Jaya-Based Forest Optimization Algorithm.” Neural Computing & Applications 32 (12): 8599–8616. doi:10.1007/s00521-019-04355-x.