Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing
Authors/Creators
- 1. Division of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
- 2. Division of Anatomic and Molecular Pathology, Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA
- 3. Division of Transplant Surgery and Transplant Surgery Research Laboratory, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- 4. Section of Nephrology, Department of Medicine, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA
- 5. Department of Surgery, Wake Forest Baptist Medical Center; Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston Salem, NC, USA
- 6. Division of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA; Department of Developmental Biology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
Description
Analysis code for "Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing"
For Seurat RDS dataset file, combine split file with cat multiome_dataset*. File can then be read into R with the ReadRDS function.
md5sum of combined dataset RDS file: bd0356af52725ed77e5412b22a94324
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Analysis code for reviewers and editors
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