Graph-based prediction of Protein-protein interactions with attributed signed graph embedding

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Multifaceted protein–protein interaction prediction based on Siamese residual RCNN

(2019) Muhao Chen et al.   BIOINFORMATICS

OUP accepted manuscript

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Protein–protein interactions prediction based on ensemble deep neural networks

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DeepPPI: Boosting Prediction of Protein–Protein Interactions with Deep Neural Networks

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Building and analysis of protein-protein interactions related to diabetes mellitus using support vector machine, biomedical text mining and network analysis

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(2015) Olwyn Byron et al.   CURRENT OPINION IN STRUCTURAL BIOLOGY

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(2015) Xin Luo et al.   Scientific Reports

Detecting Protein-Protein Interactions with a Novel Matrix-Based Protein Sequence Representation and Support Vector Machines

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Large-Scale Protein-Protein Interactions Detection by Integrating Big Biosensing Data with Computational Model

(2014) Zhu-Hong You et al.   Biomed Research International

Heterogeneous data integration by tree-augmented naïve Bayes for protein-protein interactions prediction

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Adaptive compressive learning for prediction of protein–protein interactions from primary sequence

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Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data

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Large-scale prediction of protein-protein interactions from structures

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Large-Scale Prediction of Human Protein−Protein Interactions from Amino Acid Sequence Based on Latent Topic Features

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