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pro vyhledávání: '"Yu Fang"'
High-dimensional single-cell data poses significant challenges in identifying underlying biological patterns due to the complexity and heterogeneity of cellular states. We propose a comprehensive gene-cell dependency visualization via unsupervised cl
Externí odkaz:
http://arxiv.org/abs/2407.16984
Autor:
Flores, Mario, Liu, Zhentao, Zhang, Ting-He, Hasib, Md Musaddaqui, Chiu, Yu-Chiao, Ye, Zhenqing, Paniagua, Karla, Jo, Sumin, Zhang, Jianqiu, Gao, Shou-Jiang, Jin, Yu-Fang, Chen, Yidong, Huang, Yufei
Since its selection as the method of the year in 2013, single-cell technologies have become mature enough to provide answers to complex research questions. With the growth of single-cell profiling technologies, there has also been a significant incre
Externí odkaz:
http://arxiv.org/abs/2109.12404