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Updated: May 31, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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用采样和启发式增强特征学习 (FLASH) 提高了模型性能和生物标志物识别

Shivam Kumar1, Abhinav Agarwal1, Samrat Chatterjee2

  • 1Complex Analysis Group, Computational and Mathematical Biology Centre, Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, 121001, India.

NPJ systems biology and applications
|December 12, 2025
PubMed
概括

一种新的特征选择方法FLASH有效地减少了冗余的生物数据. 它通过识别生物相关特征来增强模型性能和概括性,优于现有方法.

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相关概念视频

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.