FuhaiLiAiLab/Target-QA
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资源简介：
Target-QA数据集是由DepMap多组学和CRISPR筛选队列衍生出来的，通过BioMedGraphica进行了整合。该数据集支持图增强的大型语言模型的训练和基准测试，用于在结构化和非结构化的生物医学信息之间进行推理。数据集包含了与CRISPR目标优先级相关的多模态推理，集成了数值证据、拓扑知识和语言上下文。
Target-QA dataset is derived from the DepMap multi-omics and CRISPR screening cohorts, harmonized via BioMedGraphica. It supports the training and benchmarking of graph-augmented large language models for reasoning across structured and unstructured biomedical information, incorporating multi-modal reasoning for CRISPR target prioritization with numeric evidence, topological knowledge, and language context.
提供机构：
FuhaiLiAiLab
