New Results
Axes of inter-sample variability among transcriptional neighborhoods reveal disease-associated cell states in single-cell data
View ORCID ProfileYakir Reshef, View ORCID ProfileLaurie Rumker, View ORCID ProfileJoyce B. Kang, View ORCID ProfileAparna Nathan, View ORCID ProfileMegan B. Murray, View ORCID ProfileD. Branch Moody, View ORCID ProfileSoumya Raychaudhuri
doi: https://doi.org/10.1101/2021.04.19.440534
Yakir Reshef
1Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
3Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
4Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
5Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
Laurie Rumker
1Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
3Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
4Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
5Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
Joyce B. Kang
1Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
3Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
4Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
5Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
Aparna Nathan
1Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
3Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
4Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
5Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
Megan B. Murray
6Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
D. Branch Moody
3Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
Soumya Raychaudhuri
1Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA
2Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
3Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
4Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
5Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
7Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
Posted April 20, 2021.
Axes of inter-sample variability among transcriptional neighborhoods reveal disease-associated cell states in single-cell data
Yakir Reshef, Laurie Rumker, Joyce B. Kang, Aparna Nathan, Megan B. Murray, D. Branch Moody, Soumya Raychaudhuri
bioRxiv 2021.04.19.440534; doi: https://doi.org/10.1101/2021.04.19.440534
Axes of inter-sample variability among transcriptional neighborhoods reveal disease-associated cell states in single-cell data
Yakir Reshef, Laurie Rumker, Joyce B. Kang, Aparna Nathan, Megan B. Murray, D. Branch Moody, Soumya Raychaudhuri
bioRxiv 2021.04.19.440534; doi: https://doi.org/10.1101/2021.04.19.440534
Subject Area
Subject Areas
- Biochemistry (11715)
- Bioengineering (8723)
- Bioinformatics (29129)
- Biophysics (14936)
- Cancer Biology (12049)
- Cell Biology (17359)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14144)
- Epidemiology (2067)
- Evolutionary Biology (18268)
- Genetics (12221)
- Genomics (16767)
- Immunology (11843)
- Microbiology (28014)
- Molecular Biology (11560)
- Neuroscience (60814)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10384)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)