Pinned Repositories
DeepMal
DeepMal: accurate prediction of protein malonylation sites by deep neural networks
DNN-DTIs
DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
EL-SMURF
Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
GA-Bagging-SVM
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier
LightGBM-PPI
LightGBM-PPI: predicting protein-protein interactions through LightGBM with multi-information fusion
LRF-DTIs
Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure
rL-GenSVM
Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine
scGMAI
scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder
StackPPI
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
SulSite-GTB
SulSite-GTB:identification of protein S-sulfenylation sites by fusing multiple feature information and Gradient tree Boosting
QUST-AIBBDRC's Repositories
QUST-AIBBDRC/scGMAI
scGMAI: a Gaussian mixture model for clustering single-cell RNA-seq data based on deep autoencoder
QUST-AIBBDRC/DNN-DTIs
DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network
QUST-AIBBDRC/StackPPI
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
QUST-AIBBDRC/GA-Bagging-SVM
Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier
QUST-AIBBDRC/DeepMal
DeepMal: accurate prediction of protein malonylation sites by deep neural networks
QUST-AIBBDRC/PPISP-XGBoost
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis
QUST-AIBBDRC/DeepStack-DTIs
DeepStack-DTIs: Predicting Drug-target Interactions Using LightGBM Feature Selection and Deep Stacked Ensemble Classifier
QUST-AIBBDRC/Mps-mvRBRL
Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier
QUST-AIBBDRC/4mCi6mA-BGC
Identification of DNA N4-methylcytosine sites and N6-methyladenine sites through elastic net and bidirectional gated recurrent unit with convolutional neural network
QUST-AIBBDRC/RPI-MDLStack
RPI-MDLStack: predicting RNA-protein interactions through deep learning with stacking strategy and LASSO
QUST-AIBBDRC/ECMP-RF
Prediction of extracellular matrix proteins by fusing multiple feature information, elastic net and Random Forest algorithm
QUST-AIBBDRC/MFF-PAMP
Prediction of antimicrobial peptides based on multi-feature fusion through synthetic minority oversampling technique and random forest
QUST-AIBBDRC/ML-locMLFE
Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensional-ity reduction based on MLFE classifier
QUST-AIBBDRC/MpsLDA-ProSVM
MpsLDA-ProSVM: Predicting multi-label protein subcellular localization by wMLDAe dimensionality reduction and ProSVM classifier
QUST-AIBBDRC/StackPDB
StackPDB: predicting DNA-binding proteins based on XGB-RFE feature optimization and stacked ensemble classifier
QUST-AIBBDRC/UbiSite-XGBoost
Prediction of protein ubiquitination sites via multi-view features based on eXtreme gradient boosting classifier
QUST-AIBBDRC/AntiCVP-Deep
AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning
QUST-AIBBDRC/CITE-sort
QUST-AIBBDRC/DMLDA-LocLIFT
DMLDA-LocLIFT: Identification of multi-label protein subcellular localization using DMLDA dimensionality reduction and LIFT classifier
QUST-AIBBDRC/DSAC
Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction
QUST-AIBBDRC/EResCNN
Prediction of protein-protein interactions based on ensemble residual conventional neural network
QUST-AIBBDRC/Fertility-LightGBM
Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine
QUST-AIBBDRC/GNN-algorithms
图神经网络相关算法详述及实现
QUST-AIBBDRC/GNN_Review
GNN综述阅读报告
QUST-AIBBDRC/hopper
Diverse sampling for single-cell datasets
QUST-AIBBDRC/LBLS-XGB
LBLS-XGB: a computional method for identification of cancerlectins using XGBoost with multi-information fusion
QUST-AIBBDRC/PMPA_DeepTL
PMPA_DeepTL: a novel deep transfer learning method for predicting multiple protein acylation modified sites based on convolutional neural networks
QUST-AIBBDRC/scIGANs
Generative adversarial networks for single-cell RNA-seq imputation
QUST-AIBBDRC/scirpy
A scanpy extension to analyse single-cell TCR and BCR data.
QUST-AIBBDRC/StackRAM
StackRAM: a cross-species method for identifying RNA N6-methyladenosine sites based on stacked ensemble