High-dimensional QSAR modelling using penalized linear regression model with L1/2-norm
Author:
Affiliation:
1. Department of Mathematical Sciences, Universiti Teknologi Malaysia, Johor, Malaysia
2. Department of Chemistry, Universiti Teknologi Malaysia, Johor, Malaysia
Funder
Ministry of Higher Education, Malaysia
Universiti Teknologi Malaysia
Publisher
Informa UK Limited
Subject
Drug Discovery,Molecular Medicine,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2016.1228696
Reference47 articles.
1. High-dimensional QSAR prediction of anticancer potency of imidazo[4,5-b]pyridine derivatives using adjusted adaptive LASSO
2. Reliably assessing prediction reliability for high dimensional QSAR data
3. Analysis of High-Dimensional Structure-Activity Screening Datasets Using the Optimal Bit String Tree
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