Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks
Chlorophyll a-b binding proteins (CABs) are crucial for photosynthesis, directly influencing plant efficiency and environmental adaptation. Identifying these proteins is vital for understanding ecological function and productivity, but traditional experimental methods are laborious. To overcome this...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-11-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125004091 |
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