Investigating the performance of foundation models on human 3'UTR sequences - data
收藏官方服务:
资源简介:
Data accompanying the publication Sergey Vilov and Matthias Heinig "Investigating the performance of foundation models on human 3'UTR sequences" This data can be analyzed with our associated Github code: https://github.com/sergeyvilov/investigating-foundation-models-3utr. The model weigths for 3'UTR-specific models can be found in models/ The raw scores of all models on all tasks can be found in all_scores/
本数据集配套于Sergey Vilov与Matthias Heinig发表的题为《探究基础模型在人类3'非翻译区(3'UTR)序列上的性能表现》的研究论文。 本数据集可通过配套的GitHub代码进行分析,代码仓库地址为:https://github.com/sergeyvilov/investigating-foundation-models-3utr。 针对3'UTR专用模型的模型权重文件可在models/目录下获取。 所有模型在全部任务上的原始评分数据可在all_scores/目录下获取。
提供机构:
Zenodo创建时间:
2024-02-14



