%0 Journal Article %1 journals/candc/LuoLLDYL23 %A Luo, Hanyu %A Li, Ye %A Liu, Huan %A Ding, Pingjian %A Yu, Ying %A Luo, Lingyun %D 2023 %J Comput. Biol. Chem. %K dblp %P 107905 %T SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information. %U http://dblp.uni-trier.de/db/journals/candc/candc105.html#LuoLLDYL23 %V 105

@article{journals/candc/LuoLLDYL23, added-at = {2024-05-07T00:00:00.000+0200}, author = {Luo, Hanyu and Li, Ye and Liu, Huan and Ding, Pingjian and Yu, Ying and Luo, Lingyun}, biburl = {https://www.bibsonomy.org/bibtex/24527a98a63824e31ca19b8b0f6bc4a61/dblp}, ee = {https://doi.org/10.1016/j.compbiolchem.2023.107905}, interhash = {81f01d8fdeb62b37cb27f205575fd7fe}, intrahash = {4527a98a63824e31ca19b8b0f6bc4a61}, journal = {Comput. Biol. Chem.}, keywords = {dblp}, month = {August}, pages = 107905, timestamp = {2024-05-13T07:41:24.000+0200}, title = {SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information.}, url = {http://dblp.uni-trier.de/db/journals/candc/candc105.html#LuoLLDYL23}, volume = 105, year = 2023 }