EAGS: efficient and adaptive Gaussian smoothing applied to high-resolved spatial transcriptomics

Abstract Background The emergence of high-resolved spatial transcriptomics (ST) has facilitated the research of novel methods to investigate biological development, organism growth, and other complex biological processes. However, high-resolved and whole transcriptomics ST datasets require customize...

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Veröffentlicht in:	Gigascience 2024-01, Vol.13 (1)
Hauptverfasser:	Lv, Tongxuan, Zhang, Ying, Li, Mei, Kang, Qiang, Fang, Shuangsang, Zhang, Yong, Brix, Susanne, Xu, Xun
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Biological activity Clustering Computational neuroscience Datasets Gene expression Gene Expression Profiling Image processing Magnetic Resonance Imaging - methods Mice Normal Distribution Olfactory bulb Signal to noise ratio Smoothing Technical Note Transcriptome Transcriptomics
Online-Zugang:	Volltext
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