A sandbox for prediction and integration of DNA, RNA, and protein data in single cells

A sandbox for prediction and integration of DNA, RNA, and protein data in single cells
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用于预测和整合单细胞中 DNA、RNA 和蛋白质数据的沙箱

DOI:
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发表时间:
2021
期刊:
影响因子:
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通讯作者:
J. Bloom
J. Bloom
中科院分区:
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文献类型:
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作者:
Malte D. Luecken;Daniel B. Burkhardt;Robrecht Cannoodt;Christopher Lance;A. Agrawal;H. Aliee;A. Chen;Louise Deconinck;A. Detweiler;Alejandro A. Granados;Shelly Huynh;Laura Isacco;Y. Kim;B. D. Kumar;S. Kuppasani;H. Lickert;A. McGeever;Honey Mekonen;Joaquín Caceres;Melgarejo;Maurizio Morri;Michael Mueller;N. Neff;S. Paul;Bastian;Rieck;Kaylie Schneider;S. Steelman;Michael Sterr;D. Treacy;A. Tong;A. Villani;Guilin Wang;Jianrong Yan;Ce Zhang;A. Pisco;Smita;Krishnaswamy;Fabian J Theis;J. Bloom

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在过去的十年里,人们目睹了一场技术军备竞赛,将细胞的分子状态编码成DNA文库,将DNA测序仪变成可扩展的单细胞显微镜。染色质可及性(DNA)、基因3表达(RNA)的单细胞测量
The last decade has witnessed a technological arms race to encode the molecular 1 states of cells into DNA libraries, turning DNA sequencers into scalable single-cell 2 microscopes. Single-cell measurement of chromatin accessibility (DNA), gene 3 expression (RNA)
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DOI: --
发表时间: 2020
期刊: International Conference on Machine Learning
影响因子: --
作者:
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