It is well known that the structure of a molecule is responsible for its biological activity or physicochemical property. Here, we describe the role of machine learning (ML)/statistical methods for building reliable, predictive models in chemoinformatics. The ML...
CITATION STYLE
Karthikeyan, M., & Vyas, R. (2014). Machine Learning Methods in Chemoinformatics for Drug Discovery. In Practical Chemoinformatics (pp. 133–194). Springer India. https://doi.org/10.1007/978-81-322-1780-0_3
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