New Results
A systematic evaluation of highly variable gene selection methods for single-cell RNA-sequencing
View ORCID ProfileRuzhang Zhao, Jiuyao Lu, Weiqiang Zhou, Ni Zhao, View ORCID ProfileHongkai Ji
doi: https://doi.org/10.1101/2024.08.25.608519
Ruzhang Zhao
1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, 21212, MD, USA
Jiuyao Lu
1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, 21212, MD, USA
Weiqiang Zhou
1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, 21212, MD, USA
Ni Zhao
1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, 21212, MD, USA
Hongkai Ji
1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, 21212, MD, USA
Article usage
Posted August 26, 2024.
A systematic evaluation of highly variable gene selection methods for single-cell RNA-sequencing
Ruzhang Zhao, Jiuyao Lu, Weiqiang Zhou, Ni Zhao, Hongkai Ji
bioRxiv 2024.08.25.608519; doi: https://doi.org/10.1101/2024.08.25.608519
Subject Area
Subject Areas
- Biochemistry (13346)
- Bioengineering (10160)
- Bioinformatics (32494)
- Biophysics (16722)
- Cancer Biology (13801)
- Cell Biology (19627)
- Clinical Trials (138)
- Developmental Biology (10617)
- Ecology (15698)
- Epidemiology (2067)
- Evolutionary Biology (20010)
- Genetics (13210)
- Genomics (18337)
- Immunology (13435)
- Microbiology (31469)
- Molecular Biology (13110)
- Neuroscience (68622)
- Paleontology (508)
- Pathology (2124)
- Pharmacology and Toxicology (3663)
- Physiology (5711)
- Plant Biology (11753)
- Synthetic Biology (3300)
- Systems Biology (8018)
- Zoology (1812)