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CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets
Ke Ding, Gunjan Dixit, View ORCID ProfileBrian J. Parker, View ORCID ProfileJiayu Wen
doi: https://doi.org/10.1101/2022.12.02.518786
Ke Ding
1Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
Gunjan Dixit
1Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
Brian J. Parker
2School of Computing and Biological Data Science Institute, Australian National University, Canberra, ACT, Australia
Jiayu Wen
1Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia

- Supplemental_Materials[supplements/518786_file02.pdf]
Posted December 02, 2022.
CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets
Ke Ding, Gunjan Dixit, Brian J. Parker, Jiayu Wen
bioRxiv 2022.12.02.518786; doi: https://doi.org/10.1101/2022.12.02.518786
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