Predicting Drug Synergy through Drug-Associated Pathways Using Deep Learning
收藏数据链接:
官方服务:
资源简介:
example input dataset for one cross-validation run
应用场景:
提供机构:
Yi-Ching Tang创建时间:
2021-04-23
相关数据集
Table_1_Characterizing Pathways of Non-oral Prescription Stimulant Non-medical Use Among Adults Recruited From Reddit.DOCX
Objective: Prescription stimulant non-medical use (NMU) is a national predicament. While the risks of prescription stimulant NMU have been considered, less is known about non-oral use. To focus on thi
NIAID Data Ecosystem90
Best Fit Drug Response Parameters.
Cancer chemotherapy combines multiple drugs, but predicting the effects of drug combinations on cancer cell proliferation remains challenging, even for simple in vitro systems. We hypothesized that by
Figshare2023-05-01 更新30
Detection of Treatment-Induced Changes in Signaling Pathways in GI Stromal Tumors using Transcriptomic Data. Homo sapiens
Time series data from the GIST-T1 imatinib responsive cell line treated with imatinib mesylate for 0 - 48 hours. The goal of this study was the development of methods to deduce global changes in cell
NIAID Data Ecosystem30
Top 10 score drug combinations.
Over the years, synergistic drug combinations therapies have attracted widespread attention due to its advantages of overcoming drug resistance, increasing treatment efficacy and decreasing toxicity.
Figshare2025-02-06 更新40
The synergy score regression performances on the O’Neil dataset, in terms of mean and standard deviation.
The synergy score regression performances on the O’Neil dataset, in terms of mean and standard deviation.
NIAID Data Ecosystem30



