English(EN) PhyloGFN: Phylogenetic inference with generative flow networks

PhyloGFN 使用生成流网络进行进化关系推断

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员开发了 PhyloGFN，一种利用生成流网络（GFlowNets）进行系统发育推断的新方法。该方法旨在解决从序列数据重建进化关系中的计算挑战。PhyloGFN 旨在改进对树拓扑和进化距离等复杂组合结构的探索和采样，并在边际似然估计和拟合目标分布方面与现有方法相比表现出有竞争力。 AI

影响引入了一种新颖的 AI 驱动方法，用于复杂的生物进化分析，有望改善系统发育学中的科学发现。

排序理由该集群包含一篇详细介绍系统发育推断新方法的 ist 研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Mingyang Zhou, Zichao Yan, Elliot Layne, Esmeralda S. Whitammer, Dinghuai Zhang, Moksh Jain, Mathieu Blanchette, Yoshua Bengio · 2026-09-01 04:00

PhyloGFN：使用生成流网络进行系统发育推断

arXiv:2310.08774v3 Announce Type: replace-cross Abstract: Phylogenetics is a branch of computational biology that studies the evolutionary relationships among biological entities. Its long history and numerous applications notwithstanding, inference of phylogenetic trees from seq…