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4mci6ma-bgc

Identification of DNA N4-methylcytosine sites and N6-methyladenine sites through elastic net and bidirectional gated recurrent unit with convolutional neural network

anticvp-deep

AntiCVP-Deep: Identify anti-coronavirus peptides between different negative datasets based on self-attention and deep learning

cite-sort

deepmal

DeepMal: accurate prediction of protein malonylation sites by deep neural networks

deepstack-dtis

DeepStack-DTIs: Predicting Drug-target Interactions Using LightGBM Feature Selection and Deep Stacked Ensemble Classifier

dmlda-loclift

DMLDA-LocLIFT: Identification of multi-label protein subcellular localization using DMLDA dimensionality reduction and LIFT classifier

dnn-dtis

DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network

dnnace

DNNAce: prediction of prokaryote lysine acetylation sites through deep neural networks with multi-information fusion

dsac

Cooperation of local features and global representations by a dual-branch network for transcription factor binding sites prediction

ecmp-rf

Prediction of extracellular matrix proteins by fusing multiple feature information, elastic net and Random Forest algorithm

el-smurf

Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique

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

ga-bagging-svm

Accurate prediction of potential druggable proteins based on genetic algorithm and Bagging-SVM ensemble classifier

gcforest-ppi

Prediction of protein-protein interactions based on elastic net and deep forest

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

golgi-xgboost

Predicting Golgi-resident Protein Types Using Conditional Covariance Minimization with XGBoost Based on Multiple Features Fusion

gtb-ppi

Prediction of Protein-Protein Interactions Based on L1-Regularized Logistic Regression and Gradient Tree Boosting

hopper

Diverse sampling for single-cell datasets

lbls-xgb

LBLS-XGB: a computional method for identification of cancerlectins using XGBoost with multi-information fusion

lightgbm-crosite

Prediction of protein crotonylation sites through LightGBM classifier with multi-feature fusion

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

mff-pamp

Prediction of antimicrobial peptides based on multi-feature fusion through synthetic minority oversampling technique and random forest

ml-locmlfe

Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensional-ity reduction based on MLFE classifier

mps-mvrbrl

Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier

mpslda-prosvm

MpsLDA-ProSVM: Predicting multi-label protein subcellular localization by wMLDAe dimensionality reduction and ProSVM classifier

pmpa_deeptl

PMPA_DeepTL: a novel deep transfer learning method for predicting multiple protein acylation modified sites based on convolutional neural networks

ppis-wdsvm

Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach