A highly efficient approach to protein interactome mapping based on collaborative filtering framework
about
Improved genome-scale multi-target virtual screening via a novel collaborative filtering approach to cold-start problem.Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forestPrediction of protein-protein interactions with clustered amino acids and weighted sparse representation.An ensemble approach for large-scale identification of protein- protein interactions using the alignments of multiple sequences.An integrative C. elegans protein-protein interaction network with reliability assessment based on a probabilistic graphical model.Construction and Optimization of a Large Gene Coexpression Network in Maize Using RNA-Seq Data.Proximity labeling of interacting proteins: Application of BioID as a discovery tool.Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence.Using Two-dimensional Principal Component Analysis and Rotation Forest for Prediction of Protein-Protein Interactions
P2860
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P2860
A highly efficient approach to protein interactome mapping based on collaborative filtering framework
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2015 nî lūn-bûn
@nan
2015 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
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2015年論文
@zh-mo
2015年論文
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2015年论文
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name
A highly efficient approach to ...... laborative filtering framework
@ast
A highly efficient approach to ...... laborative filtering framework
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A highly efficient approach to ...... laborative filtering framework
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A highly efficient approach to ...... laborative filtering framework
@ast
A highly efficient approach to ...... laborative filtering framework
@en
A highly efficient approach to ...... laborative filtering framework
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A highly efficient approach to ...... laborative filtering framework
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A highly efficient approach to ...... laborative filtering framework
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A highly efficient approach to ...... laborative filtering framework
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P2093
P2860
P356
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A highly efficient approach to ...... laborative filtering framework
@en
P2093
Hareton Leung
Mengchu Zhou
Qingsheng Zhu
P2860
P2888
P356
10.1038/SREP07702
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P50
P577
2015-01-09T00:00:00Z
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P6179
1014149944