Analysis of low‐correlated spatial gene expression patterns: a clustering approach in the mouse brain data hosted in the Allen Brain Atlas

Author:

Rosati Paolo1,Lupaşcu Carmen A.2,Tegolo Domenico3

Affiliation:

1. Innogea srlVia Principe di Belmonte 102PalermoItaly

2. Institute of BiophysicsNational Research CouncilVia Ugo La Malfa 153PalermoItaly

3. Department of Mathematics and Computer ScienceUniversity of PalermoVia Archirafi 34PalermoItaly

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sleep Quality Detection Based on EEG Signals Using Transfer Support Vector Machine Algorithm;Frontiers in Neuroscience;2021-04-23

2. A Novel Brain MRI Image Segmentation Method Using an Improved Multi-View Fuzzy c-Means Clustering Algorithm;Frontiers in Neuroscience;2021-03-25

3. A genetic approach to the maximum common subgraph problem;Proceedings of the 20th International Conference on Computer Systems and Technologies;2019-06-21

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