Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
A hybrid deep learning and ensemble approach for accurate prediction of hepatocellular carcinoma from sequence variants of hepatitis B virus (HBV) X gene
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BibTeX
@article{ejaz2026hybrid,
title = {{A hybrid deep learning and ensemble approach for accurate prediction of hepatocellular carcinoma from sequence variants of hepatitis B virus (HBV) X gene}},
author = {Sadia Ejaz and Syed Ali Nawaz},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-72756-9},
url = {https://www.nature.com/articles/s41598-026-72756-9},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - A hybrid deep learning and ensemble approach for accurate prediction of hepatocellular carcinoma from sequence variants of hepatitis B virus (HBV) X gene
AU - Sadia Ejaz
AU - Syed Ali Nawaz
PY - 2026
DA - 2026/10/08
JO - Scientific Reports
DO - 10.1038/s41598-026-72756-9
UR - https://www.nature.com/articles/s41598-026-72756-9
SN - 2045-2322
ER -