32 results on '"Aristidis G. Vrahatis"'
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2. Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference.
3. Advancing ScRNA-Seq Data Integration via a Novel Gene Selection Method.
4. Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer's Disease Biomarker Discovery.
5. pCCI: A machine learning patient-centric cell-cell interactions framework for cancer subtype classification.
6. A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing.
7. Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease.
8. Feature Selection For High Dimensional Data Using Supervised Machine Learning Techniques.
9. A Hybrid Deep Learning model for predicting the early Alzheimer's Disease stages using MRI.
10. Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring.
11. Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm.
12. Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data.
13. RLAC: Random Line Approximation Clustering.
14. Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data.
15. Approximate kNN Classification for Biomedical Data.
16. Network Biomarkers for Alzheimer's Disease via a Graph-based Approach.
17. Pathway Analysis for unraveling Complex Diseases: Current State and Future Perpectives.
18. A single-cell Systems Biology approach for disease-specific subpathway extraction.
19. Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances.
20. Convolutional Neural Networks for Twitter Text Toxicity Analysis.
21. Single-cell regulatory network inference and clustering from high-dimensional sequencing data.
22. Deep Learning and Change Detection for Fall Recognition.
23. Enhancing Clustering of Single-Cell RNA-Seq Data by Proximity Learning on Random Projected Spaces.
24. Real Time Sentiment Change Detection of Twitter Data Streams.
25. Biomedical Data Ensemble Classification using Random Projections.
26. Pathway analysis using XGBoost classification in Biomedical Data.
27. Convolutional Neural Networks for Toxic Comment Classification.
28. Driving Mental Fatigue Classification Based on Brain Functional Connectivity.
29. Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections.
30. Identifying disease network perturbations through regression on gene expression and pathway topology analysis.
31. Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology.
32. Age-related subpathway detection through meta-analysis of multiple gene expression datasets.
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