English(EN) GRAFT: Biological Graph and Hypergraph Benchmarks for Linked Gene Expression and Phenotypic Trait Prediction in Arabidopsis thaliana

新的GRAFT数据集将基因表达与植物性状联系起来

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-29 04:00

研究人员推出了GRAFT，这是一个旨在增进对植物基因与性状之间关系理解的新数据集。这个多模态数据集将基因表达谱与拟南芥（一种植物生物学模型生物）的表型测量值联系起来。GRAFT旨在支持表型预测和可解释图学习等任务，并包含用于验证基因-性状关联的回归和生物信息超图基线的基准。它被呈现为同类首个为同一植物样本提供多模态基因和异构性状数据的此类数据集。 AI

影响促进了基因型-表型相关性的AI驱动研究，有望加速植物育种和基因组学领域的发现。

排序理由该集群包含一篇详细介绍生物学研究新数据集和基准的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Manuel Serna-Aguilera, Vanshika Jindal, Fiona L. Goggin, Jiamei Li, Aranyak Goswami, Alexander Bucksch, Suxing Liu, Khoa Luu · 2026-06-29 04:00

GRAFT：用于拟南芥基因表达和表型特征预测的生物图和超图基准

arXiv:2606.27413v1 Announce Type: cross Abstract: Understanding which genes control which traits in an organism remains one of the central challenges in biology. Despite significant advances in data collection technology, our ability to map genes to traits is still limited. This …

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报道来源 [1]

GRAFT：用于拟南芥基因表达和表型特征预测的生物图和超图基准

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