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Global Vectors Representation of Protein Sequences and Its Application for Predicting Self-Interacting Proteins with Multi-Grained Cascade Forest Model

机译：蛋白质序列的全局载体表示及其在多粒级联林模型预测自相互作用蛋白的应用

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1. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences [J] . Yanbin Wang, Zhuhong You, Xiao Li, International Journal of Molecular Sciences . 2017,第5期

机译：PCVMZM：结合概率分类向量机模型和Zernike矩描述符来预测蛋白质序列中的蛋白质与蛋白质相互作用
2. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences [J] . Ji-Yong An, Zhu-Hong You, Fan-Rong Meng, International Journal of Molecular Sciences . 2016,第5期

机译：RVMAB：使用关联向量机模型与平均模块相结合来预测蛋白质序列中蛋白质的相互作用
3. Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences [J] . Ji-Yong An, Fan-Rong Meng, Zhu-Hong You, BioMed research international . 2016,第9期

机译：使用相关矢量机模型结合局部相量化以预测来自蛋白质序列的蛋白质 - 蛋白质相互作用
4. Global Description of Amino Acid Nucleotide Sequences: Application to Predicting Protein Folds, Intron-Exon Discrimination, RNA Gene Identification [C] . Inna Dubchak, Stephen R. Holbrook, Ilya Muchnik 1999 International Conference on Modeling and Simulation of Microsystems Apr 19-21, 1999, San Juan, Puerto Rico, USA . 1999

机译：氨基酸和核苷酸序列的全球描述：在预测蛋白质折叠，内含子-外显子区分和RNA基因鉴定中的应用
5. Automated generation of sequence motifs and three dimensional models of proteins and their applications. [D] . Mathura, Venkatarajan Subramanian. 2002

机译：序列基序和蛋白质三维模型的自动生成及其应用。
6. Global Vectors Representation of Protein Sequences and Its Application for Predicting Self-Interacting Proteins with Multi-Grained Cascade Forest Model [O] . Zhan-Heng Chen, Zhu-Hong You, Wen-Bo Zhang, 2019

机译：蛋白质序列的全局向量表示及其在多谷物级联森林模型预测自相互作用蛋白质中的应用
7. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest. [O] . Zhu-Hong You, Keith C C Chan, Pengwei Hu 2015

机译：使用新的多尺度局部特征表示方案和随机森林预测来自初级蛋白质序列的蛋白质 - 蛋白质相互作用。

Global Vectors Representation of Protein Sequences and Its Application for Predicting Self-Interacting Proteins with Multi-Grained Cascade Forest Model

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