QUST-AIBBDRC's repositories
GA-Bagging-SVM
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier
Mps-mvRBRL
Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier
PPISP-XGBoost
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis
DeepStack-DTIs
DeepStack-DTIs: Predicting Drug-target Interactions Using LightGBM Feature Selection and Deep Stacked Ensemble Classifier
4mCi6mA-BGC
Identification of DNA N4-methylcytosine sites and N6-methyladenine sites through elastic net and bidirectional gated recurrent unit with convolutional neural network
ML-locMLFE
Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensional-ity reduction based on MLFE classifier
MpsLDA-ProSVM
MpsLDA-ProSVM: Predicting multi-label protein subcellular localization by wMLDAe dimensionality reduction and ProSVM classifier
RPI-MDLStack
RPI-MDLStack: predicting RNA-protein interactions through deep learning with stacking strategy and LASSO
UbiSite-XGBoost
Prediction of protein ubiquitination sites via multi-view features based on eXtreme gradient boosting classifier
AntiCVP-Deep
AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning
DMLDA-LocLIFT
DMLDA-LocLIFT: Identification of multi-label protein subcellular localization using DMLDA dimensionality reduction and LIFT classifier
DSAC
Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction
EResCNN
Prediction of protein-protein interactions based on ensemble residual conventional neural network
Fertility-LightGBM
Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine
GNN-algorithms
图神经网络相关算法详述及实现
GNN_Review
GNN综述阅读报告
PMPA_DeepTL
PMPA_DeepTL: a novel deep transfer learning method for predicting multiple protein acylation modified sites based on convolutional neural networks
scIGANs
Generative adversarial networks for single-cell RNA-seq imputation