Search for relevant subsets of binary predictors in high dimensional regression for discovering the lead molecule-Reference-Cited by-同舟云学术

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Search for relevant subsets of binary predictors in high dimensional regression for discovering the lead molecule

Published:2021-03-25 Issue:4 Volume:20 Page:898-915
ISSN:1539-1604
Container-title:Pharmaceutical Statistics
language:en
Short-container-title:Pharmaceutical Statistics

Author:

Mameli Valentina¹^ORCID,Slanzi Debora²³^ORCID,Poli Irene³,Green Darren V.S.⁴

Affiliation:

1. Department of Economics and Statistics University of Udine Udine Italy

2. Department of Management Ca' Foscari University of Venice Venice Italy

3. European Centre for Living Technology Ca' Foscari University of Venice Venice Italy

4. GlaxoSmithKline R&D Stevenage UK

Funder

University of Kentucky

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pst.2117

Reference46 articles.

1. Introduction to Fragment-Based Drug Discovery

2. Biophysical screening in fragment‐based drug design: a brief overview;Robson‐Tull J;Biosci Horiz: Int J Stud Res,2018

3. molBLOCKS: decomposing small molecule sets and uncovering enriched fragments

4. Comparison of chemical clustering methods using graph- and fingerprint-based similarity measures

5. Life beyond the Tanimoto coefficient: similarity measures for interaction fingerprints

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interpretability of bi‐level variable selection methods;Biometrical Journal;2024-03

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