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0576353 - ÚEB 2024 RIV US eng J - Journal Article
Ningthoujam, S. S. - Nath, R. - Kityania, S. - Mazumder, P. B. - Choudhury, M. D. - Talukdar, A. D. - Nahar, Lutfun - Sarker, S. D.
R software for QSAR analysis in phytopharmacological studies.
Phytochemical Analysis. Roč. 34, č. 7 (2023), s. 709-728. ISSN 0958-0344. E-ISSN 1099-1565
Institutional support: RVO:61389030
Keywords : descriptor * feature selection * mlr * qsar * R software * regression assumption * regression diagnostics
OECD category: Biochemical research methods
Impact factor: 3.3, year: 2022
Method of publishing: Open access
https://doi.org/10.1002/pca.3239
Permanent Link: https://hdl.handle.net/11104/0345922