Related references
Note: Only part of the references are listed.Classification and prediction of protein-protein interaction interface using machine learning algorithm
Subhrangshu Das et al.
SCIENTIFIC REPORTS (2021)
Recommender systems based on generative adversarial networks: A problem-driven perspective
Min Gao et al.
INFORMATION SCIENCES (2021)
Graph embedding on biomedical networks: methods, applications and evaluations
Xiang Yue et al.
BIOINFORMATICS (2020)
Network embedding in biomedical data science
Chang Su et al.
BRIEFINGS IN BIOINFORMATICS (2020)
DNN-PPI: A LARGE-SCALE PREDICTION OF PROTEIN-PROTEIN INTERACTIONS BASED ON DEEP NEURAL NETWORKS
Yuanmiao Gui et al.
JOURNAL OF BIOLOGICAL SYSTEMS (2019)
Exploring protein-protein interactions using the site-identification by ligand competitive saturation methodology
Wenbo Yu et al.
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS (2019)
A systemic analysis of link prediction in social network
Sogol Haghani et al.
ARTIFICIAL INTELLIGENCE REVIEW (2019)
Network-Based Disease Module Discovery by a Novel Seed Connector Algorithm with Pathobiological Implications
Rui-Sheng Wang et al.
JOURNAL OF MOLECULAR BIOLOGY (2018)
Graph embedding techniques, applications, and performance: A survey
Palash Goyal et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Restricted Boltzmann Machine-Based Approaches for Link Prediction in Dynamic Networks
Taisong Li et al.
IEEE ACCESS (2018)
Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences
Hang Li et al.
MOLECULES (2018)
A diseasome cluster-based drug repurposing of soluble guanylate cyclase activators from smooth muscle relaxation to direct neuroprotection
Friederike Langhauser et al.
NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2018)
DeepPPI: Boosting Prediction of Protein-Protein Interactions with Deep Neural Networks
Xiuquan Du et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2017)
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Deep Belief Network-Based Approaches for Link Prediction in Signed Social Networks
Feng Liu et al.
ENTROPY (2015)
Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence
Yu-An Huang et al.
BIOMED RESEARCH INTERNATIONAL (2015)
Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis
Philipp Blohm et al.
NUCLEIC ACIDS RESEARCH (2014)
Computational Prediction of Protein-Protein Interaction Networks: Algorithms and Resources
Javad Zahiri et al.
CURRENT GENOMICS (2013)
Gene Ontology-driven inference of protein-protein interactions using inducers
Stefan R. Maetschke et al.
BIOINFORMATICS (2012)
Network medicine: a network-based approach to human disease
Albert-Laszlo Barabasi et al.
NATURE REVIEWS GENETICS (2011)
Link prediction in complex networks: A survey
Linyuan Lue et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2011)
Interaction proteomics: characterization of protein complexes using tandem affinity purification-mass spectrometry
Pamela Voelkel et al.
BIOCHEMICAL SOCIETY TRANSACTIONS (2010)
Quantifying protein-protein interactions in high throughput using protein domain microarrays
Alexis Kaushansky et al.
NATURE PROTOCOLS (2010)
Yeast Two-Hybrid, a Powerful Tool for Systems Biology
Anna Brueckner et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2009)
STRING 8-a global view on proteins and their functional interactions in 630 organisms
Lars J. Jensen et al.
NUCLEIC ACIDS RESEARCH (2009)
Using support vector machine combined with auto covariance to predict proteinprotein interactions from protein sequences
Yanzhi Guo et al.
NUCLEIC ACIDS RESEARCH (2008)
Predictina protein-protein interactions based only on sequences information
Juwen Shen et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)
Choosing negative examples for the prediction of protein-protein interactions
A Ben-Hur et al.
BMC BIOINFORMATICS (2006)