Deep learning-based clustering approaches for bioinformatics

Keyphrases

• Bioinformatics 100%
• Deep Learning Methods 100%
• Clustering Approach 100%
• Bioinformatics Research 50%
• Representation Learning 33%
• Deep Neural Network 16%
• Feature Learning 16%
• Gene Function 16%
• Distribution-based 16%
• Clustering Algorithm 16%
• Clustering Results 16%
• Unsupervised Method 16%
• Data Distribution 16%
• Learning Representations 16%
• Computational Methods 16%
• Density-based 16%
• Improved Clustering 16%
• Cellular Processes 16%
• High-dimensional Data Space 16%
• Evaluation Results 16%
• Effective Means 16%
• Cluster Analysis 16%
• Biomedical Text Mining 16%
• Learning Settings 16%
• Hierarchical Centroid 16%
• Quality Metrics 16%
• Bioimaging 16%
• Data Understanding 16%
• Low-dimensional Feature Space 16%
• Self-organizing Map 16%
• Training Procedure 16%
• Valuable Insight 16%
• Cancer Genomics 16%
• Centroid-based 16%
• Image Sequence 16%
• Gene Regulation 16%
• Sequence Expressions 16%
• High-dimensional Data 16%
• Natural Structures 16%
• Gene Expression 16%
• Biological Processes 16%
• Classical Machine Learning 16%
• Cluster Quality 16%

Computer Science

• Deep Learning 100%
• clustering approach 100%
• Representation Learning 50%
• High Dimensional Data 33%
• Use Case 16%
• Machine Learning 16%
• Text Mining 16%
• Deep Neural Network 16%
• Data Understanding 16%
• Clustering Algorithm 16%
• Clustering Result 16%
• Unsupervised Method 16%
• Computational Method 16%
• Evaluation Result 16%
• Organizing Map 16%
• Expression Sequence 16%
• Cluster Analysis 16%
• Research Problem 16%
• Image Sequence 16%
• Clustering Quality 16%
• Dimensional Feature Space 16%
• Text Expression 16%
• Starting Point 16%