S
Shi-Shi Yuan
Researcher at University of Electronic Science and Technology of China
Publications - 3
Citations - 105
Shi-Shi Yuan is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Deep learning & Word2vec. The author has an hindex of 2, co-authored 3 publications receiving 21 citations.
Papers
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Journal ArticleDOI
iBLP: An XGBoost-Based Predictor for Identifying Bioluminescent Proteins.
Dan Zhang,Hua-Dong Chen,Hasan Zulfiqar,Shi-Shi Yuan,Qin-Lai Huang,Zhao-Yue Zhang,Ke-Jun Deng +6 more
TL;DR: Wang et al. as mentioned in this paper proposed a novel predicting framework for identifying bioluminescent proteins based on eXtreme gradient boosting algorithm (XGBoost) and using sequence-derived features.
Journal ArticleDOI
Identification of cyclin protein using gradient boost decision tree algorithm.
TL;DR: In this paper, a gradient boost decision tree (GBDT) classifier was trained on the optimal features to identify cyclins with an accuracy of 93.06% and AUC value of 0.971.
Journal ArticleDOI
Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli.
Lourdes Peña-Castillo,Hasan Zulfiqar,Zi-Jie Sun,Qin-Lai Huang,Shi-Shi Yuan,Hao Lv,Fu-Ying Dao,Hao Lin,Yan-Wen Li +8 more
TL;DR: Wang et al. as discussed by the authors developed a deep learning-based model to predict 4mC sites in the Escherichia coli genome, where DNA sequences were encoded by word embedding technique 'word2vec'.