因此，需要通过有效的解卷积算法 (deconvolution) 才能有效获得细胞类型空间组成。 目前已发表的对空间转录组数据解卷积的算法，或未能充分考虑转录组的高度稀疏、高噪声等特性，或未能在解卷积过程中充分利用空间近邻的相似性信息，在实际的应用中常常出现推断错误或不稳健等问题。

Using machine learning, OmicsTweezer merges diverse data by using deep learning combined with optimal transport.

Journal Reference: Haijing Jin, Zhandong Liu. A benchmark for RNA-seq deconvolution analysis under dynamic testing environments. Genome Biology, 2021; 22 (1) DOI: 10.1186/s13059-021-02290-6 ...

ABSTRACT This article reviews different deconvolution methods. The all‐pervasive presence of noise is what makes deconvolution particularly difficult. The diversity of resulting algorithms reflects ...

This practical software course on the powerful Automated Mass Spectral Deconvolution and Identification System software mixes 50% presentations with 50% practical exercises using the software to get a ...

This course teaches you the theory of deconvolution, how to use and optimise it to find co-eluting peaks and peaks below the baseline in your GC-MS data, through presentations and demonstrations using ...

If after deconvolution your background is too noisy, move this value higher. If you have an extremely good signal-to-noise ratio, you can move this lower. 6. For “Number of Iterations,” choose ...

Target deconvolution by affinity chromatography is achieved by modifying the small-molecule (ligand), a ‘linker’ is introduced that enables it to be immobilized, and the immobilized ligand is then ...