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The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge.
Briefings in Bioinformatics ( IF 9.5 ) Pub Date : 2020-08-25 , DOI: 10.1093/bib/bbaa181
Vu V H Pham 1 , Xiaomei Li 1 , Buu Truong 1 , Thin Nguyen 2 , Lin Liu 3 , Jiuyong Li 3 , Thuc D Le 1
Affiliation  

Predicting cell locations is important since with the understanding of cell locations, we may estimate the function of cells and their integration with the spatial environment. Thus, the DREAM challenge on single-cell transcriptomics required participants to predict the locations of single cells in the Drosophila embryo using single-cell transcriptomic data.

中文翻译:

在 DREAM 单细胞转录组学挑战中预测细胞位置的获胜方法。

预测细胞位置很重要,因为通过了解细胞位置,我们可以估计细胞的功能及其与空间环境的整合。因此,单细胞转录组学的 DREAM 挑战要求参与者使用单细胞转录组学数据预测果蝇胚胎中单细胞的位置。
更新日期:2020-08-25
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