MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites.

Wang C, Dong Y, Li C, Oberstaller J, Zhang M, Gibbons J, Pires CV, Xiao M, Zhu L, Jiang RHY, Kim K, Miao J, Otto TD, Cui L, Adams JH, Liu X

Open source

DOI: 10.1186/s13059-023-03063-z
Published: 2023 Oct 16
Container: Genome biology
Publisher: Not recorded
Open access: yes

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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 = {Wang C and Dong Y and Li C and Oberstaller J and Zhang M and Gibbons J and Pires CV and Xiao M and Zhu L and Jiang RHY and Kim K and Miao J and Otto TD and Cui L and Adams JH and Liu X},
  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  - Wang C
AU  - Dong Y
AU  - Li C
AU  - Oberstaller J
AU  - Zhang M
AU  - Gibbons J
AU  - Pires CV
AU  - Xiao M
AU  - Zhu L
AU  - Jiang RHY
AU  - Kim K
AU  - Miao J
AU  - Otto TD
AU  - Cui L
AU  - Adams JH
AU  - Liu X
PY  - 2023
JO  - Genome biology
DO  - 10.1186/s13059-023-03063-z
UR  - https://doi.org/10.1186/s13059-023-03063-z
ER  -

APA

C, W., Y, D., C, L., J, O., M, Z., J, G., CV, P., M, X., L, Z., RHY, J., K, K., J, M., TD, O., L, C., JH, A., & X, L. (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

pubmed · retrieved 2026-09-26T15:24:31.137Z