Reference Vector-guided Evolutionary Algorithm for cluster analysis of single-cell transcriptomes

doi:10.1016/j.cmpb.2025.108873

2025-06-06

Miguel A. Vega‐Rodríguez

Sergio Santander‐Jiménez

DOI：10.1016/j.cmpb.2025.108873

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摘要

En 中文

• 一种用于单细胞转录组聚类分析的新型多目标算法。 • 三种新的问题感知变异算子，用于改进问题的每个目标。 • 使用十个真实的scRNA-seq数据集和领域内广泛使用的指标进行评估。 • 相较于当前最优方法，实现了统计学上显著的改进。 • 对解的生物分析表明其与真实聚类高度一致。

Keyword:

Multi-objective optimization

Reference Vector-guided Evolutionary Algorithm

Cluster analysis

Single-cell transcriptome

ScRNA-seq

期刊

Computer Methods and Programs in Biomedicine

IF:

4.8

论文数:

7.0K

被引数:

2.1W

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