利用功能特征识别乳腺癌、髓系白血病和前列腺癌的药物重定位

资源简介

利用功能特征识别乳腺癌、髓系白血病和前列腺癌的药物重定位

【数据集背景】

本数据集源站标题为《Using Functional Signatures to Identify Repositioned Drugs for Breast, Myelogenous Leukemia and Prostate Cancer》。配套论文《Using Functional Signatures to Identify Repositioned Drugs for Breast, Myelogenous Leukemia and Prostate Cancer》发表于 PLoS Computational Biology（2012），DOI：10.1371/journal.pcbi.1002347。源站首次发布：2012-02-09。

【数据内容】

源站原始描述：The cost and time to develop a drug continues to be a major barrier to widespread distribution of medication. Although the genomic revolution appears to have had little impact on this problem, and might even have exacerbated it because of the flood of additional and usually ineffective leads, the emergence of high throughput resources promises the possibility of rapid, reliable and systematic identification of approved drugs for originally unintended uses. In this paper we develop and apply a me…

【数据结构与技术规格】

文件数 8 个，合计 1.78 MB。Figure_S1.jpeg：image/jpeg，1.01 MB。Table_S1.doc：application/msword，208.90 KB。Table_S2.doc：application/msword，192.00 KB。数据集 DOI：10.1371/journal.pcbi.1002347。

【主题与分类】

源站学科分类：Biological Sciences、Genetics。主题标签：signatures、repositioned、drugs、myelogenous、leukemia、prostate、cancer。

【适用方向】

源站学科分类标注为 Biological Sciences、Genetics。

【获取与许可】

源站页面：https://plos.figshare.com/articles/dataset/Using_Functional_Signatures_to_Identify_Repositioned_Drugs_for_Breast_Myelogenous_Leukemia_and_Prostate_Cancer/128924

使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。

规范引用：Shigemizu, Daichi; Hu, Zhenjun; Hung, Jui-Hung; Huang, Chia-Ling; Wang, Yajie; DeLisi, Charles (2016). Using Functional Signatures to Identify Repositioned Drugs for Breast, Myelogenous Leukemia and Prostate Cancer. PLOS Computational Biology. Dataset

【使用注意】

· 源站最后修改于 2023-05-31，引用时请注意版本时效。