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English(EN) Donor-Aware scRNA-seq Benchmarks for IBD Classification

新的基准测试通过供体感知scRNA-seq分析改进了IBD分类

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一种用于使用单细胞RNA测序（scRNA-seq）数据分类炎症性肠病（IBD）的供体感知基准测试。该新基准测试通过确保训练和测试数据来自不同的供体，解决了假复制问题。该研究评估了三种特征表示，包括居中对数比（CLR）转换的细胞类型组成和GatedStructuralCFN依赖性嵌入，跨越两个独立的IBD队列。 AI

影响 为生物数据分析引入了更严格的评估框架，有可能提高AI模型在疾病分类中的可靠性。

排序理由 该集群包含一篇学术论文，详细介绍了生物数据分析的新基准测试和评估方法。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的基准测试通过供体感知scRNA-seq分析改进了IBD分类

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该集群包含一篇学术论文，详细介绍了生物数据分析的新基准测试和评估方法。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Jonathan Muhire ·

    IBD分类的供体感知scRNA-seq基准

    arXiv:2605.03281v1 Announce Type: cross Abstract: Donor-level disease classification from single-cell RNA sequencing (scRNA-seq) requires strict donor-aware cross-validation: naive pipelines that split cells randomly conflate training and test donors, inflating reported performan…

  2. arXiv stat.ML TIER_1 English(EN) · Jonathan Muhire ·

    IBD分类的供体感知scRNA-seq基准

    Donor-level disease classification from single-cell RNA sequencing (scRNA-seq) requires strict donor-aware cross-validation: naive pipelines that split cells randomly conflate training and test donors, inflating reported performance through pseudoreplication. We present a donor-a…

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