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Integrative multi-omics analyses identify cell-type disease genes and regulatory networks across schizophrenia and Alzheimer’s disease
Mufang Ying, Peter Rehani, Panagiotis Roussos, View ORCID ProfileDaifeng Wang
doi: https://doi.org/10.1101/2020.06.11.147314
Mufang Ying
1Department of Statistics, University of Wisconsin - Madison, Madison, WI, 53706, USA
Peter Rehani
2Department of Integrative Biology, University of Wisconsin - Madison, Madison, WI, 53706, USA
6Waisman Center, University of Wisconsin – Madison, Madison, WI, 53705, USA
Panagiotis Roussos
3Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
4Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
Daifeng Wang
5Department of Biostatistics and Medical Informatics, University of Wisconsin – Madison, Madison, WI, 53706, USA
6Waisman Center, University of Wisconsin – Madison, Madison, WI, 53705, USA
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Posted June 12, 2020.
Integrative multi-omics analyses identify cell-type disease genes and regulatory networks across schizophrenia and Alzheimer’s disease
Mufang Ying, Peter Rehani, Panagiotis Roussos, Daifeng Wang
bioRxiv 2020.06.11.147314; doi: https://doi.org/10.1101/2020.06.11.147314
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