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English(EN) GoCo: structure-guided conformal calibration for error-controlled Gene Ontology annotation release

GoCo框架提高了基因本体论注释的准确性和数量

研究人员开发了GoCo,一个旨在提高计算生物学中基因本体论(GO)注释的准确性和数量的新框架。这种结构引导的方法校准现有的预测器分数以控制误差,特别针对基因级别的错误发现比例(FDP)。GoCo-M,一个变体,在遵守多项研究的误差目标的同时,展示了比现有方法发布更多GO术语的能力。另一个变体GoCo-N通过排序基因特异性调用进一步改进了这一点,与在独立数据集上使用Multilabel相比,发布的注释数量显著增加。 AI

排序理由 该项目是一篇详细介绍新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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GoCo框架提高了基因本体论注释的准确性和数量

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该项目是一篇详细介绍新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Chong Wang, Yongzhao Shao, Peng Liu ·

    GoCo:结构引导的共形校准,用于误差控制的基因本体注释发布

    arXiv:2610.32990v1 Announce Type: cross Abstract: Computational gene-function prediction generates annotations at a scale that experimental characterization cannot match, yet substantial errors remain even among leading methods. Explicit error-controlled calibration for Gene Onto…