Introduction
EP-GBDT is based on an ensemble approach which combines multiple Gradient Boosting Decision Tree (GBDT). It allows users to predict essential proteins using only protein sequence information.
EP-GBDT is based on an ensemble approach which combines multiple Gradient Boosting Decision Tree (GBDT). It allows users to predict essential proteins using only protein sequence information.
Materials
Code and datasets can be obtained from here.
Code and datasets can be obtained from here.
References
Min Zeng, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, and Min Li. “Improving human essential protein prediction using only sequence-derived features through an ensemble approach”.
Min Zeng, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, and Min Li. “Improving human essential protein prediction using only sequence-derived features through an ensemble approach”.
EP-GBDT Input
Predictor accepts protein sequences (in FASTA format).
EP-GBDT Output
The prediction results are shown below.
| Protein ID | Essential Probability | Prediction Result |
|---|---|---|