LR_PPI statistics

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Citations per year

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chevron_left Protein-protein interaction prediction chevron_right
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Associated diseases

Associated diseases

LR_PPI specifications


Unique identifier OMICS_18479
Alternative name Latent dirichlet allocation-Random forest Protein-Protein Interaction
Interface Web user interface
Restrictions to use Academic or non-commercial use
Input data Some protein sequences.
Computer skills Basic
Stability Stable
Maintained Yes



  • person_outline Hong-Bin Shen <>

Publication for Latent dirichlet allocation-Random forest Protein-Protein Interaction

LR_PPI in publication

PMCID: 5445391
PMID: 28545462
DOI: 10.1186/s12859-017-1700-2

[…] algorithm for sequence-based ppi prediction, and we achieved prediction performance that surpassed previous methods., we obtained the pan’s ppi dataset from []. in this dataset, the positive samples (ppis) are from the human protein references database (hprd, 2007 version), with removal of duplicated interactions (36,630 pairs remained). […]

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LR_PPI institution(s)
Institute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai, China
LR_PPI funding source(s)
Supported by the National Natural Science Foundation of China (Grant No. 60704047), Science and Technology Commission of Shanghai Municipality (Grant No. 08ZR1410600, 08JC1410600), sponsored by Shanghai Pujiang Program and Innovation Program of Shanghai Municipal Education Commission (10ZZ17).

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