Article Information
History
- May 10, 2017.
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Diego Calderon1,
- Anand Bhaskar2,3,
- David A. Knowles2,4,
- David Golan5,
- Towfique Raj6,7,
- Audrey Q. Fu8 and
- Jonathan K. Pritchard2,3,9
- 1Program in Biomedical Informatics, Stanford University, Stanford, CA, 94305, USA
- 2Department of Genetics, Stanford University, Stanford, CA, 94305, USA
- 3Howard Hughes Medical Institute, Stanford University, Stanford, CA, 94305, USA
- 4Department of Radiology, Stanford University, Stanford, CA, 94305, USA
- 5Faculty of Industrial Engineering & Management, Technion, Haifa, Israel
- 6Department of Neuroscience, Mount Sinai School of Medicine, New York, NY, 10029, USA
- 7Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, NY, 10029, USA
- 8Department of Statistical Science, University of Idaho, Moscow, ID, 83844, USA
- 9Department of Biology, Stanford University, Stanford, CA, 94305, USA
Posted May 10, 2017.
Inferring relevant cell types for complex traits using single-cell gene expression
