ASCENT

Figshare2025-03-03 更新2026-04-28 收录

药物-靶点相互作用

主动学习

数据链接：

https://figshare.com/articles/dataset/ASCENT/28525688 数据链接链接失效反馈

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资源简介：

This repository contains the official implementation of the paper "An active transfer learning paradigm for drug-target interaction prediction with ASCENT".

创建时间：

2025-03-03

Crystal structure of the catalytic domain of human MMP12 complexed with the inhibitor 4-fluoro-N-(2-hydroxyethyl)-N-(2-nitroso-2-oxoethyl)benzenesulfonamide

金属蛋白酶

药物-靶点相互作用

Crystal structure of the catalytic domain of human MMP12 complexed with the inhibitor 4-fluoro-N-(2-hydroxyethyl)-N-(2-nitroso-2-oxoethyl)benzenesulfonamide Descriptor: 2-[(4-fluorophenyl)sulfonyl-(2-

Protein Data Bank Japan2023-12-27 更新40

The use of active learning methods in MBA marketing

MBA教学法

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Abstract This article reports the experience of a single embedded case study that discusses the application of active learning methods. It aims to broaden the understanding of the benefits and the ope

Figshare2019-03-01 更新30

Comparison of drug-target interactions predictions from experiments and those from experiments and text mining in STITCH.

药物-靶点相互作用

生物信息学验证

AUC values for predicting drug-target interactions are shown to compare two cases of using experimentally validated interactions and by using all interactions including experiments, text mining, and o

Figshare2015-12-02 更新20

Using Generative AI to Develop Active Learning Experiences [Torus]

生成式AI教育应用

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Project: Using Generative AI to Develop Active Learning Experiencesâ Project ID: using_large_language_models_in Section: Using Generative AI to Develop Active Learning Experience Section ID: usi

DataCite Commons2026-04-25 更新30

Out-of-Distribution Evaluation of Active Learning Pipelines for Molecular Property Prediction Dataset

分子性质预测

主动学习

Data for the paper "Out-of-Distribution Evaluation of Active Learning Pipelines for Molecular Property Prediction"

Zenodo2024-09-16 更新20