MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites
- DOI
- 10.1186/s13059-023-03063-z
- Published
- 2023-10-16
- Container
- Genome Biology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13059-023-03063-z,
title = {MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites},
author = {Chengqi Wang and Yibo Dong and Chang Li and Jenna Oberstaller and Min Zhang and Justin Gibbons and Camilla Valente Pires and Mianli Xiao and Lei Zhu and Rays H. Y. Jiang and Kami Kim and Jun Miao and Thomas D. Otto and Liwang Cui and John H. Adams and Xiaoming Liu},
year = {2023},
journal = {Genome Biology},
doi = {10.1186/s13059-023-03063-z},
url = {https://doi.org/10.1186/s13059-023-03063-z}
}RIS
TY - JOUR TI - MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites AU - Chengqi Wang AU - Yibo Dong AU - Chang Li AU - Jenna Oberstaller AU - Min Zhang AU - Justin Gibbons AU - Camilla Valente Pires AU - Mianli Xiao AU - Lei Zhu AU - Rays H. Y. Jiang AU - Kami Kim AU - Jun Miao AU - Thomas D. Otto AU - Liwang Cui AU - John H. Adams AU - Xiaoming Liu PY - 2023 JO - Genome Biology DO - 10.1186/s13059-023-03063-z UR - https://doi.org/10.1186/s13059-023-03063-z ER -
APA
Wang, C., Dong, Y., Li, C., Oberstaller, J., Zhang, M., Gibbons, J., Pires, C. V., Xiao, M., Zhu, L., Jiang, R. H. Y., Kim, K., Miao, J., Otto, T. D., Cui, L., Adams, J. H., & Liu, X. (2023). MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites. Genome Biology. https://doi.org/10.1186/s13059-023-03063-z
Source records
- crossref · retrieved 2026-11-05T20:46:31.705Z