GTB-PPI: Predict Protein–Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree Boosting
Bin Yu(Hainan University), Qin Ma(The Ohio State University), Bingqiang Liu(Shandong University), Hongyan Zhou(Binzhou Medical University), Cheng Chen(University of Bern)
Cited by 56
Related Papers
SubMito-XGBoost: predicting protein submitochondrial localization by fusing multiple feature information and eXtreme gradient boosting
|Bioinformatics|2019|186
NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health
|Nature Aging|2022|128
Durability of Booster mRNA Vaccine against SARS-CoV-2 BA.2.12.1, BA.4, and BA.5 Subvariants
|New England Journal of Medicine|2022|86
An Optimal Transportation Approach for Nuclear Structure-Based Pathology
|IEEE Transactions on Medical Imaging|2010|83
A visual–omics foundation model to bridge histopathology with spatial transcriptomics
|Nature Methods|2025|76