New Results
Removing unwanted variation between samples in Hi-C experiments
View ORCID ProfileKipper Fletez-Brant, Yunjiang Qiu, View ORCID ProfileDavid U. Gorkin, View ORCID ProfileMing Hu, View ORCID ProfileKasper D. Hansen
doi: https://doi.org/10.1101/214361
Kipper Fletez-Brant
1McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
Yunjiang Qiu
3Bioinformatics and Systems Biology Graduate Program, University of California, San Diego
4Ludwig Institute for Cancer Research
David U. Gorkin
4Ludwig Institute for Cancer Research
5Department of Cellular and Molecular Medicine, University of California at San Diego
Ming Hu
6Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation
Kasper D. Hansen
1McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
Article usage
Posted March 09, 2020.
Removing unwanted variation between samples in Hi-C experiments
Kipper Fletez-Brant, Yunjiang Qiu, David U. Gorkin, Ming Hu, Kasper D. Hansen
bioRxiv 214361; doi: https://doi.org/10.1101/214361
Subject Area
Subject Areas
- Biochemistry (11703)
- Bioengineering (8722)
- Bioinformatics (29127)
- Biophysics (14932)
- Cancer Biology (12048)
- Cell Biology (17359)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14143)
- Epidemiology (2067)
- Evolutionary Biology (18268)
- Genetics (12220)
- Genomics (16766)
- Immunology (11841)
- Microbiology (28005)
- Molecular Biology (11552)
- Neuroscience (60808)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4939)
- Plant Biology (10384)
- Synthetic Biology (2877)
- Systems Biology (7333)
- Zoology (1642)