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Updated: Jun 17, 2025

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xSiGra:一个单细胞空间数据阐释的可解释模型

Aishwarya Budhkar1, Ziyang Tang2, Xiang Liu3

  • 1Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, 107 S Indiana Ave, Bloomington, IN 47405, United States.

Briefings in bioinformatics
|August 9, 2024
PubMed
概括

一个新的AI模型xSiGra使用多式成像数据解读空间细胞类型. 它揭示了关键的基因和细胞相互作用,揭示了细胞活动受到其邻居的影响.

关键词:
可以解释的人工智能AI混合图形变压器 混合图形变压器可以解释的特征.空间细胞识别功能

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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