The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
A deep convolutional neural network approach for predicting phenotypes from genotypes
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Finn, R. D., Coggill, P., Eberhardt, R. Y., Eddy, S. R., Mistry, J., Mitchell, A. L., Potter, S. C., Punta, M., Qureshi, M., Sangrador-Vegas, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1344 · Cited by 5,975
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Cited by
A primer on deep learning in genomics
Zou, J., Huss, M., Abid, A., Mohammadi, P., Torkamani, A., & Telenti, A. (2019) · Nature Genetics · doi:10.1038/s41588-018-0295-5 · Cited by 891
A review of deep learning applications for genomic selection
Montesinos-López, O. A., Montesinos-López, A., Pérez-Rodríguez, P., Barrón-López, J. A., Martini, J. W. R., Fajardo-Flores, S. B., Gaytan-Lugo, L. S., Santana-Mancilla, P. C., & Crossa, J. (2021) · BMC Genomics · doi:10.1186/s12864-020-07319-x · Cited by 361
DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants
Wang, K., Abid, M. A., Rasheed, A., Crossa, J., Hearne, S., & Li, H. (2023) · Molecular Plant · doi:10.1016/j.molp.2022.11.004 · Cited by 278
Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes
Abdollahi-Arpanahi, R., Gianola, D., & Peñagaricano, F. (2020) · Genetics Selection Evolution · doi:10.1186/s12711-020-00531-z · Cited by 228
Exploring deep learning for complex trait genomic prediction in polyploid outcrossing species
Zingaretti, L. M., Gezan, S. A., Ferrão, L. F. V., Osorio, L. F., Monfort, A., Muñoz, P. R., Whitaker, V. M., & Pérez-Enciso, M. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00025 · Cited by 159
Metadata
- Authors
- Ma, W., Qiu, Z., Song, J., Li, J., Cheng, Q., Zhai, J., & Ma, C.
- Venue
- Planta
- Published
- 2018-08-12
- Volume
- 248
- Issue
- 5
- Pages
- 1307-1318
- ISSN
- 0032-0935 (ISSN-L)
- 1432-2048
- OpenAlex
- W2887039631
- Cited by
- 341
- References
- 53
- FWCI
- 9.44
- Type
- journal article
- Language
- en
- Open access
- green
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- Ma, W., Qiu, Z., Song, J., Li, J., Cheng, Q., Zhai, J., & Ma, C. (2018). A deep convolutional neural network approach for predicting phenotypes from genotypes. Planta. https://doi.org/10.1007/s00425-018-2976-9
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