Correction : Random-forest model for drug–target interaction prediction via Kullback–Leibler divergence,Journal of Cheminformatics

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Correction : Random-forest model for drug–target interaction prediction via Kullback–Leibler divergence
Journal of Cheminformatics ( IF 7.1 ) Pub Date : 2022-11-02 , DOI: 10.1186/s13321-022-00653-0
Sangjin Ahn _{1,

2} , Si Eun Lee ₁ , Mi-Hyun Kim ₁

Affiliation

Following publication of the original article [1], the authors identified a spelling in the title and in the body of the text.

Incorrect: Kullbeck.

Correct: Kullback.

The original article has been corrected.

Ahn S, Lee S, Kim MH (2022) Random-forest model for drug–target interaction prediction via Kullback–Leibler divergence. J Cheminformatics 14:67. https://doi.org/10.1186/s13321-022-00644-1
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Authors and Affiliations

Gachon Institute of Pharmaceutical Science and Department of Pharmacy, College of Pharmacy, Gachon University, 191 Hambakmoeiro, Yeonsu-Gu, Incheon, Republic of Korea
Sangjin Ahn, Si Eun Lee & Mi-hyun Kim
Department of Artificial Intelligence, Ajou University, Suwon, 16499, Republic of Korea
Sangjin Ahn

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Si Eun LeeView author publications
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Mi-hyun KimView author publications
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Correspondence to Mi-hyun Kim.

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Ahn, S., Lee, S.E. & Kim, Mh. Correction : Random-forest model for drug–target interaction prediction via Kullback–Leibler divergence. J Cheminform 14, 76 (2022). https://doi.org/10.1186/s13321-022-00653-0

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Published: 02 November 2022
DOI: https://doi.org/10.1186/s13321-022-00653-0

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中文翻译：

更正：通过 Kullback-Leibler 散度进行药物-靶标相互作用预测的随机森林模型

在原始文章 [1] 发表后，作者确定了标题和正文中的拼写。

错误：库尔贝克。

正确：库尔贝克。

原文章已更正。

Ahn S, Lee S, Kim MH (2022) 通过 Kullback-Leibler 散度进行药物-靶标相互作用预测的随机森林模型。化学信息学杂志 14:67。https://doi.org/10.1186/s13321-022-00644-1
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作者和附属机构

Gachon 药学研究所和药学系，Gachon 大学药学院，191 Hambakmoeiro, Yeonsu-Gu, Incheon, Republic of Korea
Sangjin Ahn、Si Eun Lee & Mi-hyun Kim
亚洲大学人工智能系, 水原, 16499, 大韩民国
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