Revealing subject-specific temporal patterns from longitudinal data

doi:10.1093/bioinformatics/btag658

2026-09-04

Christos Chatzis *

David Horner

Rasmus Bro

Ann‐Marie Malby Schoos

Morten Arendt Rasmussen

Evrim Acar *

DOI：10.1093/bioinformatics/btag658

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摘要

En 中文

时序多变量数据在许多领域中普遍存在，例如，在纵向队列中按计划访问（每隔几个月/几年）收集，或在挑战测试中每隔几分钟/小时收集。这类数据的分析通常侧重于揭示跨主体共有的潜在时序模式。然而，时序模式存在主体特异性差异，这有望加深我们对潜在机制的理解并促进个性化方法的应用。然而，从纵向多变量数据中可靠地提取主体特异性时序模式仍是一个开放性挑战。

期刊

Bioinformatics

IF:

5.4

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1.3K

被引数:

17.9W

机构

University of Copenhagen

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1.2K

论文数: 413

被引数: 0

simula metropolitan center for digital engineering

学者数:

论文数: 2

被引数: 0

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