位置：成果数据库 > 期刊 > 期刊详情页
Predicting Drug-Target Interactions with Multi-Information Fusion
  • ISSN号：2168-2194
  • 期刊名称：IEEE Journal of Biomedical and Health Informatics
  • 时间：0
  • 页码：-
  • 相关项目：肿瘤基因表达谱数据分析及应用算法研究
作者： Wen Zhu|Yan Jiang|Wei Liang|Keqin Li|
同期刊论文项目
肿瘤基因表达谱数据分析及应用算法研究
期刊论文 32
同项目期刊论文
Incorporating Secondary Features into the General form of Chou';s PseAAC for Predicting Prot
Dynamical Locally Linear Discriminant Embedding for Feature Gene Extraction Based on RF
Informative SNPs selection based on two-locus and multilocus linkage disequilibrium: Criteria of Max
A Compact Hybrid Feature Vector for an Accurate Prediction of Protein Subcellular Location
A new graphical coding of DNA sequence and its similarity calculation
Detecting the Maximum Similarity Bi-Clusters of Gene Expression Data with Evolutionary Computation
Identifying human microRNA–disease associations by a new diffusion-based method
On Ef？cient Feature Ranking Methods for High-throughput Data Analysis
Informative SNPs Selection Based on Two-Locus and Multi locus Linkage Disequilibrium: Criteria of Ma
A Novel Numerical Feature Extraction Method for Protein Subcellular Localization
Learning a Weighted Meta-Sample Based Parameter FreeSparse Representation Classification for Microar
A Novel Two-Stage Approach for Epistasis Detection in Genome Wide Case Control Studies
Using Multi-Instance Hierarchical Clustering Learning System to Predict Yeast Gene Function
Identifying Protein Complexes by Reducing Noise in Interaction Networks
RNA-Transverse and Longitudinal Protein Sequence Encoding: An Encoding Method for Protein Sequence a
A Transfer Learning Model for Unbalanced Archaeal Bacterial Protein Subcellular Localization
An Improved Genetic Algorithm for Multiple Sequence Alignment
A new technique for generating pathogenic barcodes in breast cancer susceptibility analysis
Approach of Fusing Multiple Tests to Analyzing Rare Genetic Variants
A Novel Single Nucleotide Polymorphisms Quality Control Method in Genome-Wide Association Studies
Gene selection using locality sensitive Laplacian score
A hierarchy clustering method of selecting kernel SNPs to unify informative SNPs and tag SNPs
Incorporating Secondary Structural Features into Sequence Information for Predicting Protein Structu