Exploring Data Distributions in Machine Learning Models with SOMs
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67159-3_10
Reference17 articles.
1. Balani, S.K., Miwa, G.T., Gan, L.S., Wu, J.T., Lee, F.W.: Strategy of utilizing in vitro and in vivo ADME tools for lead optimization and drug candidate selection. Curr. Top. Med. Chem. 5(11), 1033–1038 (2005)
2. Breiman, L.: Random forests. Mach. Learn. 45, 5–32 (2001)
3. Fang, C., et al.: Prospective validation of machine learning algorithms for absorption, distribution, metabolism, and excretion prediction: an industrial perspective. J. Chem. Inf. Model. (2023)
4. Feinberg, E.N., Joshi, E., Pande, V.S., Cheng, A.C.: Improvement in ADMET prediction with multitask deep featurization. J. Med. Chem. 63(16), 8835–8848 (2020)
5. Hartono, P., Hollensen, P., Trappenberg, T.: Learning-regulated context relevant topographical map. IEEE Trans. Neural Netw. Learn. Syst. 26(10), 2323–2335 (2014)
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