New Results
Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences
Inyoung Kim, Sang Yoon Byun, Sangyeup Kim, Sangyoon Choi, Jinsung Noh, Junho Chung, Byung Gee Kim
doi: https://doi.org/10.1101/2021.08.02.454701
Inyoung Kim
1Artificial Intelligence Institute, Seoul National University, Seoul, Republic of Korea
Sang Yoon Byun
2Department of Computer Science, Grinnell College, Grinnell, IA, United States of America
Sangyeup Kim
3Department of Applied Biology and Chemistry, Seoul National University, Seoul, Republic of Korea
Sangyoon Choi
4College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea
Jinsung Noh
1Artificial Intelligence Institute, Seoul National University, Seoul, Republic of Korea
Junho Chung
6Department of Biomedical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
7Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
8Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
Byung Gee Kim
1Artificial Intelligence Institute, Seoul National University, Seoul, Republic of Korea
5School of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea
Posted November 29, 2021.
Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences
Inyoung Kim, Sang Yoon Byun, Sangyeup Kim, Sangyoon Choi, Jinsung Noh, Junho Chung, Byung Gee Kim
bioRxiv 2021.08.02.454701; doi: https://doi.org/10.1101/2021.08.02.454701
Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences
Inyoung Kim, Sang Yoon Byun, Sangyeup Kim, Sangyoon Choi, Jinsung Noh, Junho Chung, Byung Gee Kim
bioRxiv 2021.08.02.454701; doi: https://doi.org/10.1101/2021.08.02.454701
Subject Area
Subject Areas
- Biochemistry (10379)
- Bioengineering (7695)
- Bioinformatics (26368)
- Biophysics (13547)
- Cancer Biology (10719)
- Cell Biology (15459)
- Clinical Trials (138)
- Developmental Biology (8509)
- Ecology (12841)
- Epidemiology (2067)
- Evolutionary Biology (16884)
- Genetics (11413)
- Genomics (15491)
- Immunology (10638)
- Microbiology (25254)
- Molecular Biology (10239)
- Neuroscience (54576)
- Paleontology (402)
- Pathology (1671)
- Pharmacology and Toxicology (2899)
- Physiology (4353)
- Plant Biology (9263)
- Synthetic Biology (2561)
- Systems Biology (6789)
- Zoology (1470)