位置：成果数据库 > 期刊 > 期刊详情页
Inductive matrix completion for predicting adverse drug reactions (ADRs) integrating drug–target int
  • ISSN号：0169-7439
  • 期刊名称：Chemometrics and Intelligent Laboratory Systems
  • 时间：2015.5
  • 页码：71-79
  • 相关项目：食品中抗生素类药物残留评估的化学与生物信息学方法探索
作者： Yiming Wu|Yizhou Li|Min Zhu|Menglong Li|
同期刊论文项目
食品中抗生素类药物残留评估的化学与生物信息学方法探索
期刊论文 42 会议论文 28
同项目期刊论文
A Web-Based Graphic User Interface of PML For Machine Learning In Parallel Running Head: A Web-Based
A structural dissection of large protein-protein crystal packing contacts
A sequence-based two-level method for the prediction of type I secreted RTX proteins
Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder
Effective identification of kinase-specific phosphorylation sites based on domain-domain interaction
Effective discrimination between biologically relevant contacts and crystal packing contacts using n
Combination use of protein–protein interaction network topological features improves the predictive
Genome-wide association study combined with biological context can reveal more diseaserelated SNPs a
Prediction of adverse drug reactions by a network based external link prediction method
Predicting putative adverse drug reaction related proteins based on network topological properties
The Effect of Edge Definition of Complex Networks on Protein Structure Identification
Classification of multi-family enzymes by multilabel machine learning and sequence-based descriptors
A Systematic Investigation of Computation Models for Predicting Adverse Drug Reactions (ADRs)
A hybrid method for identification of structural domains
Domain position prediction based on sequence information by using fuzzy mean operator
PPM-Dom: A novel method for domain position prediction
Prediction of hot spots residues in protein-protein interface using network feature and microenviron
A functional feature analysis on diverse protein-protein interactions: application for the predictio
Age-related changes in functional connectivity between young adulthood and late adulthood
Prediction of protein-protein binding affinity using diverse protein-protein interface features
Combination use of protein-protein interaction network topological features improves the predictive
Effective Identification of Gram-Negative Bacterial Type III Secreted Effectors Using Position-Speci
Investigating the concordance of Gene Ontology terms reveals the intra- and inter-platform reproduci
Improving the Understanding of Pathogenesis of Human Papillomavirus 16 via Mapping Protein-Protein I
PML: A parallel machine learning toolbox for data classification and regression
Position-specific prediction of methylation sites from sequence conservation based on information th
Classification of multi-family enzymes by multi-label machine learning and sequence-based descriptor
BOS：一种用于不平衡数据学习的边界过采样方法