In silico prediction of spleen tyrosine kinase inhibitors using machine learning approaches and an optimized molecular descriptor subset generated by recursive feature elimination method

• Main Authors: Li, B.-K., Cong, Y., Yang, X.-G., Xue, Y., Chen, Y.-Z.
• Other Authors: PHARMACY
• Format: Article
• Published: 2014
• Subjects: Machine learning methods (ML methods); Recursive feature elimination (RFE); Rheumatoid arthritis (RA); Spleen tyrosine kinase (Syk); Support vector machine (SVM)
• Online Access: http://scholarbank.nus.edu.sg/handle/10635/106035
• Institution: National University of Singapore

10.1016/j.compbiomed.2013.01.015