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A single cell framework for multi-omic analysis of disease identifies malignant regulatory signatures in mixed phenotype acute leukemia
Jeffrey M. Granja, Sandy Klemm, Lisa M. McGinnis, Arwa S. Kathiria, Anja Mezger, Benjamin Parks, Eric Gars, Michaela Liedtke, Grace X.Y. Zheng, Howard Y. Chang, Ravindra Majeti, William J. Greenleaf
doi: https://doi.org/10.1101/696328
Jeffrey M. Granja
1Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA
2Biophysics Program, Stanford University School of Medicine, Stanford, CA 94305, USA
3Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
Sandy Klemm
3Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
Lisa M. McGinnis
3Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
4Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
Arwa S. Kathiria
3Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
Anja Mezger
3Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
Benjamin Parks
3Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
5Department of Computer Science, Stanford University School of Engineering, Stanford, CA 94305, USA
Eric Gars
4Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
Michaela Liedtke
9Department of Medicine, Division of Hematology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305
Grace X.Y. Zheng
610x Genomics, Inc., Pleasanton, CA 94566, USA
Howard Y. Chang
1Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA
3Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
7Department of Dermatology, Stanford University School of Medicine, Redwood City, CA 94063, USA
8Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305
Ravindra Majeti
9Department of Medicine, Division of Hematology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305
William J. Greenleaf
1Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA 94305, USA
3Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
10Department of Applied Physics, Stanford University, Stanford, CA 94025
11Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
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Posted July 09, 2019.
A single cell framework for multi-omic analysis of disease identifies malignant regulatory signatures in mixed phenotype acute leukemia
Jeffrey M. Granja, Sandy Klemm, Lisa M. McGinnis, Arwa S. Kathiria, Anja Mezger, Benjamin Parks, Eric Gars, Michaela Liedtke, Grace X.Y. Zheng, Howard Y. Chang, Ravindra Majeti, William J. Greenleaf
bioRxiv 696328; doi: https://doi.org/10.1101/696328
A single cell framework for multi-omic analysis of disease identifies malignant regulatory signatures in mixed phenotype acute leukemia
Jeffrey M. Granja, Sandy Klemm, Lisa M. McGinnis, Arwa S. Kathiria, Anja Mezger, Benjamin Parks, Eric Gars, Michaela Liedtke, Grace X.Y. Zheng, Howard Y. Chang, Ravindra Majeti, William J. Greenleaf
bioRxiv 696328; doi: https://doi.org/10.1101/696328
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