Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences.
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PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein SequencesHighly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical CharacteristicsPredicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network.
P2860
Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences.
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2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Using the Relevance Vector Mac ...... ctions from Protein Sequences.
@en
Using the Relevance Vector Mac ...... ctions from Protein Sequences.
@nl
type
label
Using the Relevance Vector Mac ...... ctions from Protein Sequences.
@en
Using the Relevance Vector Mac ...... ctions from Protein Sequences.
@nl
prefLabel
Using the Relevance Vector Mac ...... ctions from Protein Sequences.
@en
Using the Relevance Vector Mac ...... ctions from Protein Sequences.
@nl
P2093
P2860
P356
P1476
Using the Relevance Vector Mac ...... ctions from Protein Sequences.
@en
P2093
Fan-Rong Meng
Ji-Yong An
Ming Zhang
Yu-Hong Fang
Yu-Jun Zhao
Zhu-Hong You
P2860
P304
P356
10.1155/2016/4783801
P407
P577
2016-05-23T00:00:00Z