Citation Impact
Citing Papers
Protein interaction networks revealed by proteome coevolution
2019 StandoutScienceNobel
PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels
2015 Standout
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs
2022 StandoutNobel
Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention
2021 StandoutNobel
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis
2013
Prediction of protein-protein interactions between viruses and human by an SVM model
2012
Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
2012
Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods
2011
Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering
2013
iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins
2011
Predicting the Functional Effect of Amino Acid Substitutions and Indels
2012 Standout
A general framework for estimating the relative pathogenicity of human genetic variants
2014 Standout
Designing antimicrobial peptides: form follows function
2011 Standout
Trends in extreme learning machines: A review
2014 Standout
Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data
2011
Using ensemble methods to deal with imbalanced data in predicting protein–protein interactions
2012
Primate iPS cells as tools for evolutionary analyses
2014 StandoutNobel
The N-terminal Helical Region of the Hepatitis C Virus p7 Ion Channel Protein Is Critical for Infectious Virus Production
2015 StandoutNobel
Transformer Neural Networks for Protein Family and Interaction Prediction Tasks
2022
CADD: predicting the deleteriousness of variants throughout the human genome
2018 Standout
Computational Methods for Predicting Protein‐Protein Interactions Using Various Protein Features
2018
A survey on ensemble learning
2019 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
A Tutorial on Multilabel Learning
2015 Standout
Random forest in remote sensing: A review of applications and future directions
2016 Standout
Predicting protein–protein interactions through sequence-based deep learning
2018
Works of Lezheng Yu being referenced
Predicting disease-associated substitution of a single amino acid by analyzing residue interactions
2011
Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach
2009
Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
2008
An Ensemble Classifier of Support Vector Machines Used to Predict Protein Structural Classes by Fusing Auto Covariance and Pseudo-Amino Acid Composition
2010