The influence of hashed fingerprints density on the machine learning methods performance

被引：0

作者：

Sabina Smusz

Rafał Kurczab

Andrzej J Bojarski

机构：

[1] Institute of Pharmacology Polish Academy of Sciences,Department of Medicinal Chemistry

[2] Jagiellonian University,Faculty of Chemistry

来源：

Journal of Cheminformatics | / 5卷 / Suppl 1期

关键词：

Machine Learning; Active Compound; Drug Discovery; Learning Experiment; Learning Method;

D O I：

10.1186/1758-2946-5-S1-P25

中图分类号：

学科分类号：

摘要：

引用

共 7 条

[1]

Geppert H(2010)Current Trends in Ligand-Based Virtual Screening: Molecular Representations, Data Mining Methods, New Application Areas, and Performance Evaluation J Chem Inf Model 50 205-216

[2]

Vogt M(2009)OrChem - An open source chemistry search engine for Oracle J Cheminf 1 17-84

[3]

Bajorath J(2008)Balancing the Influence of Molecular Complexity on Fingerprint Similarity Searching J Chem Inf Model 48 75-undefined

[4]

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[5]

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[6]

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[7]

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