English(EN) When Does Gene Regulatory Network Inference Break? A Controlled Diagnostic Study of Causal and Correlational Methods on Single-Cell Data

研究诊断因果方法在基因调控网络推断中失效的原因

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-06 13:55

一项发表在arXiv上的新研究调查了从单细胞RNA测序数据推断基因调控网络的因果方法与相关方法的有效性。研究人员发现，虽然因果方法在理想条件下表现出色，但其优势会被滴落和潜在混淆变量等特定数据病理所抵消。该研究进行了6120次受控实验，分析了七种不同的病理如何影响六种推断方法，为方法开发和应用提供了实用指导。 AI

影响提供了对不同基因调控网络推断方法何时成功或失败的细致理解，为方法开发和实际应用提供了可操作的见解。

排序理由该集群包含一篇学术论文，详细介绍了基因调控网络推断方法的受控诊断研究。

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报道来源 [2]

arXiv cs.LG TIER_1 English(EN) · Miguel Fernandez-de-Retana, Ruben Sanchez-Corcuera, Unai Zulaika, Aritz Bilbao-Jayo, Aitor Almeida · 2026-05-07 04:00

When Does Gene Regulatory Network Inference Break? A Controlled Diagnostic Study of Causal and Correlational Methods on Single-Cell Data

arXiv:2605.04930v1 Announce Type: new Abstract: Despite theoretical advantages, causal methods for Gene Regulatory Network (GRN) inference from single-cell RNA-seq data consistently fail to match or outperform correlation-based baselines in many realistic benchmarks, a persistent…
arXiv stat.ML TIER_1 English(EN) · Aitor Almeida · 2026-05-06 13:55

When Does Gene Regulatory Network Inference Break? A Controlled Diagnostic Study of Causal and Correlational Methods on Single-Cell Data

Despite theoretical advantages, causal methods for Gene Regulatory Network (GRN) inference from single-cell RNA-seq data consistently fail to match or outperform correlation-based baselines in many realistic benchmarks, a persistent puzzle which casts doubt on the value of causal…

报道来源 [2]

When Does Gene Regulatory Network Inference Break? A Controlled Diagnostic Study of Causal and Correlational Methods on Single-Cell Data

When Does Gene Regulatory Network Inference Break? A Controlled Diagnostic Study of Causal and Correlational Methods on Single-Cell Data

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