A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network von Peng, Jiajie, Li, Jingyi, Shang, Xuequn

Volltext

FindCSV: a long-read based method for detecting complex structural variations von Zheng, Yan, Shang, Xuequn

Volltext

SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data von Zheng, Yan, Shang, Xuequn

Volltext

SVvalidation: A long-read-based validation method for genomic structural variation von Zheng, Yan, Shang, Xuequn

Volltext

BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data von Guo, Yang, Liu, Shuhui, Li, Zhanhuai, Shang, Xuequn

Volltext

Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies von Ma, Ying, Sun, Shiquan, Shang, Xuequn, Keller, Evan T., Chen, Mengjie, Zhou, Xiang

Volltext

Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data von Peng, Jiajie, Wang, Xiaoyu, Shang, Xuequn

Volltext

Identification of associations between lncRNA and drug resistance based on deep learning and attention mechanism von Gao, Meihong, Shang, Xuequn

Volltext

Predicting Parkinson's Disease Genes Based on Node2vec and Autoencoder von Peng, Jiajie, Guan, Jiaojiao, Shang, Xuequn

Volltext

Temporal Graph Cube von Wang, Guoren, Zeng, Yue, Li, Rong-Hua, Qin, Hongchao, Shi, Xuanhua, Xia, Yubin, Shang, Xuequn Shang, Hong, Liang

Volltext

SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model von Zheng, Yan, Zhong, Yuanke, Hu, Jialu, Shang, Xuequn

Volltext

Weakly Supervised Group Mask Network for Object Detection von Song, Lingyun, Liu, Jun, Sun, Mingxuan, Shang, Xuequn

Volltext

A novel method for predicting cell abundance based on single-cell RNA-seq data von Peng, Jiajie, Han, Lu, Shang, Xuequn

Volltext

Detection of Network Motif Based on a Novel Graph Canonization Algorithm from Transcriptional Regulation Networks von Hu, Jialu, Shang, Xuequn

Volltext

Measuring phenotype-phenotype similarity through the interactome von Peng, Jiajie, Hui, Weiwei, Shang, Xuequn

Volltext

A sequence-based machine learning model for predicting antigenic distance for H3N2 influenza virus von Li, Xingyi, Li, Yanyan, Shang, Xuequn, Kong, Huihui

Volltext

SSCI: Self-Supervised Deep Learning Improves Network Structure for Cancer Driver Gene Identification von Xu, Jialuo, Hao, Jun, Liao, Xingyu, Shang, Xuequn, Li, Xingyi

Volltext

Educational Data Mining Techniques for Student Performance Prediction: Method Review and Comparison Analysis von Zhang, Yupei, Yun, Yue, An, Rui, Cui, Jiaqi, Dai, Huan, Shang, Xunqun

Volltext

Identifying term relations cross different gene ontology categories von Peng, Jiajie, Wang, Honggang, Lu, Junya, Hui, Weiwei, Wang, Yadong, Shang, Xuequn

Volltext

Self-paced graph memory for learner GPA prediction and it’s application in learner multiple evaluation von Yun, Yue, Cao, Ruoqi, Dai, Huan, Zhang, Yupei, Shang, Xuequn

Volltext