An Efficient Computational Method to Predict Drug-Target Interactions Utilizing Structural Perturbation Method

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ICIC (16. : 2020 : Bari) 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020 ; part 2: Intelligent computing theories and application
1. Verfasser: Lu, Xinguo (VerfasserIn)
Weitere Verfasser: Liu, Fang (VerfasserIn), Ding, Li (VerfasserIn), Wang, Xinyu (VerfasserIn), Li, Jinxin (VerfasserIn), Yuan, Yue (VerfasserIn)
Pages:16
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Tumor Gene Selection and Prediction via Supervised Correlation Analysis Based F-Score Method 2020 Cheng, Jia-Jun
Exploring lncRNA-MRNA Regulatory Modules Based on lncRNA Similarity in Breast Cancer 2020 Tian, Lei
Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network 2020 Zhang, Yindong
Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest 2020 Zheng, Kai
A Novel Improved Algorithm for Protein Classification Through a Graph Similarity Approach 2020 Chou, Hsin-Hung
LncRNA-Disease Association Prediction Based on Graph Neural Networks and Inductive Matrix Completion 2020 Yuan, Lin
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model 2020 Yi, Hai-Cheng
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network 2020 Chen, Zhan-Heng
HGAlinker: Drug-Disease Association Prediction Based on Attention Mechanism of Heterogeneous Graph 2020 Jing, Xiaozhu
A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning 2020 Su, Xiao-Rui
Embracing Disease Progression with a Learning System for Real World Evidence Discovery 2020 Tang, Zefang
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification 2020 Ren, Liang-Rui
Resource Scheduling Algorithm Based on Evolutionary Computation in Dynamic Cloud Environment 2020 Yu, Qiyuan
GTCN: Dynamic Network Embedding Based on Graph Temporal Convolution Neural Network 2020 Huang, Zhichao
A Machine Learning Based Method to Identify Differentially Expressed Genes 2020 Chen, Bolin
Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models 2020 Lovino, Marta
GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks 2020 Wang, Lei
Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet Transform 2020 Pan, Jie
Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks 2020 Zheng, Kai
A Network-Driven Approach for LncRNA-Disease Association Mapping 2020 Yuan, Lin
Alle Artikel auflisten