New Results
Multi-omics integration and regulatory inference for unpaired single-cell data with a graph-linked unified embedding framework
View ORCID ProfileZhi-Jie Cao, View ORCID ProfileGe Gao
doi: https://doi.org/10.1101/2021.08.22.457275
Zhi-Jie Cao
1Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing, 100871, China
Ge Gao
1Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Center for Bioinformatics (CBI), and State Key Laboratory of Protein and Plant Gene Research at School of Life Sciences, Peking University, Beijing, 100871, China
Posted September 06, 2021.
Multi-omics integration and regulatory inference for unpaired single-cell data with a graph-linked unified embedding framework
Zhi-Jie Cao, Ge Gao
bioRxiv 2021.08.22.457275; doi: https://doi.org/10.1101/2021.08.22.457275
Subject Area
Subject Areas
- Biochemistry (11703)
- Bioengineering (8718)
- Bioinformatics (29127)
- Biophysics (14930)
- Cancer Biology (12048)
- Cell Biology (17353)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14143)
- Epidemiology (2067)
- Evolutionary Biology (18266)
- Genetics (12219)
- Genomics (16765)
- Immunology (11841)
- Microbiology (28003)
- Molecular Biology (11551)
- Neuroscience (60804)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3229)
- Physiology (4939)
- Plant Biology (10383)
- Synthetic Biology (2877)
- Systems Biology (7333)
- Zoology (1642)