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Prediction of single-cell gene expression for transcription factor analysis
GigaScience ( IF 11.8 ) Pub Date : 2020-10-30 , DOI: 10.1093/gigascience/giaa113
Fatemeh Behjati Ardakani 1, 2, 3, 4 , Kathrin Kattler 5 , Tobias Heinen 2, 3 , Florian Schmidt 1, 2, 3, 4 , David Feuerborn 6 , Gilles Gasparoni 5 , Konstantin Lepikhov 5 , Patrick Nell 6 , Jan Hengstler 6 , Jörn Walter 5 , Marcel H Schulz 1, 2, 3
Affiliation  

Single-cell RNA sequencing is a powerful technology to discover new cell types and study biological processes in complex biological samples. A current challenge is to predict transcription factor (TF) regulation from single-cell RNA data.

中文翻译:


用于转录因子分析的单细胞基因表达预测



单细胞 RNA 测序是一种强大的技术,可用于发现新的细胞类型和研究复杂生物样品中的生物过程。当前的挑战是从单细胞 RNA 数据预测转录因子 (TF) 调控。
更新日期:2020-10-30
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