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Supplementary Pairwise Interactions 1 from Collections of Simultaneously Altered Genes as Biomarkers of Cancer Cell Drug Response

NIAID Data Ecosystem2026-05-16 收录

药物反应预测

基因组相互作用

数据链接：

https://figshare.com/articles/dataset/Supplementary_Pairwise_Interactions_1_from_Collections_of_Simultaneously_Altered_Genes_as_Biomarkers_of_Cancer_Cell_Drug_Response/22400100 数据链接链接失效反馈

官方服务：

资源简介：

XLSX file - 5261K

应用场景：

创建时间：

2013-03-15

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scDrugMap

药物反应预测

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scDrugMap是一个综合性的药物反应预测框架，它集成了Python命令行工具和交互式网络服务器。该框架支持评估多种基础模型，包括八个单细胞基础模型和两个大型语言模型，使用大规模的单细胞数据集进行预测。scDrugMap包含一个精选数据资源，由23项研究中的36个数据集的326,751个细胞组成，以及一个包含来自17项研究的17个数据集的18,856个细胞的验证集合。该框架通过两个评估场景进行了

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* Difference was considered significant at P < 0.05. Logistic regression analysis showing the association of miR-122, miR-221 and miR-21 with drug responsiveness among HCV-4 patients.

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table4_Evaluation of Serum/Urine Genomic and Metabolomic Profiles to Improve the Adherence to Sildenafil Therapy in Patients with Erectile Dysfunction.docx

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Type V-phosphodiesterase-inhibitors (PDE5i) are the first choice drugs in the treatment of erectile dysfunction (ED), being effective in 60–70% of patients. However, approximately 50% of patients per

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S05_scRNA_seq_response_prediction.xlsx

药物反应预测

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Additional file 3 of Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model

药物反应预测

组织类型分析

Additional file 3. The similarity matrices based on tissue type information corresponding to CCLE dataset.

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