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Updated: Sep 19, 2025

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
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基于跨细胞类型差异分析的复杂样本的无参考解卷:系统性评估,具有各种特征选择选项

Weiwei Zhang1, Zhonghe Tian1, Ling Peng1

  • 1School of Mathematics Information, Shaoxing University, Shaoxing, China.

Frontiers in genetics
|June 16, 2025
PubMed
概括

准确的细胞组成估计对于复杂的基因组数据至关重要. 这项研究引入了一种新的无参考解卷方法,使用最佳特征选择,在没有事先信息的情况下提高分析准确性.

关键词:
通过DNA甲基化.细胞组合 细胞组合跨细胞类型差异分析功能选择 功能选择基因表达的基因表达方式没有参考的解卷解卷.

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相关概念视频

Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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