English(EN) Nearest-neighbour baselines for fingerprint prediction from MS/MS spectra under different assumptions

新的最近邻基线挑战深度学习在MS/MS光谱指纹预测中的应用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-05 04:00

研究人员开发了用于从MS/MS光谱预测分子指纹的新型最近邻基线。这些方法为当前的深度学习模型提供了强有力的替代方案，其性能与之相当甚至更优。该研究系统地比较了各种最近邻方法，并强调了在推理时可用信息的不同假设如何影响预测准确性。目标是为评估该领域的进展建立更严格的基准。 AI

影响为分子指纹预测建立了新的基准，可能指导未来在化学信息学领域的人工智能研究。

排序理由该集群包含一篇学术论文，详细介绍了特定科学任务的新方法和基线。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.LG TIER_1 English(EN) · Ling Min Serena Khoo · 2026-10-05 04:00

不同假设下MS/MS谱图指纹预测的最近邻基线

arXiv:2610.02249v1 Announce Type: new Abstract: It has recently been shown that nearest-neighbour retrieval provides a strong baseline for molecular fingerprint prediction from MS/MS spectra, with several variants matching or outperforming current deep learning models (Khoo and B…