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scDirect: key transcription factor identification for directing cell state transitions based on single-cell multi-omics data
View ORCID ProfileChen Li, Sijie Chen, Yixin Chen, Haiyang Bian, View ORCID ProfileMinsheng Hao, Lei Wei, View ORCID ProfileXuegong Zhang
doi: https://doi.org/10.1101/2024.01.08.574757
Chen Li
1MOE Key Laboratory of Bioinformatics and Bioinformatics Division of BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
Sijie Chen
1MOE Key Laboratory of Bioinformatics and Bioinformatics Division of BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
Yixin Chen
1MOE Key Laboratory of Bioinformatics and Bioinformatics Division of BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
Haiyang Bian
1MOE Key Laboratory of Bioinformatics and Bioinformatics Division of BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
Minsheng Hao
1MOE Key Laboratory of Bioinformatics and Bioinformatics Division of BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
Lei Wei
1MOE Key Laboratory of Bioinformatics and Bioinformatics Division of BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
Xuegong Zhang
1MOE Key Laboratory of Bioinformatics and Bioinformatics Division of BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China
2Center for Synthetic and Systems Biology, School of Life Sciences and School of Medicine, Tsinghua University, Beijing 100084, China
Posted February 09, 2024.
scDirect: key transcription factor identification for directing cell state transitions based on single-cell multi-omics data
Chen Li, Sijie Chen, Yixin Chen, Haiyang Bian, Minsheng Hao, Lei Wei, Xuegong Zhang
bioRxiv 2024.01.08.574757; doi: https://doi.org/10.1101/2024.01.08.574757
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