40 results on '"Mina, Eleni"'
Search Results
2. Machine learning in Huntington’s disease: exploring the Enroll-HD dataset for prognosis and driving capability prediction
3. Multi-omics analysis in inclusion body myositis identifies mir-16 responsible for HLA overexpression.
4. A collaborative network analysis for the interpretation of transcriptomics data in Huntington's disease.
5. Huntington Disease Gene Expression Signatures in Blood Compared to Brain of YAC128 Mice as Candidates for Monitoring of Pathology
6. Multi-omics analysis in inclusion body myositis identifies mir-16 responsible for HLA overexpression
7. Structuring research methods and data with the Research Object model: genomics workflows as a case study
8. Collaborative network analysis for the interpretation of transcriptomics data in rare diseases, an application to Huntington’s disease
9. Spinocerebellar Ataxia Type 1 Characteristics in Patient‐Derived Fibroblast and iPSC‐Derived Neuronal Cultures
10. Identifying impact of software dependencies on replicability of biomedical workflows
11. Machine learning in Huntington’s disease:exploring the Enroll-HD dataset for prognosis and driving capability prediction
12. Spinocerebellar Ataxia Type 1 Characteristics in Patient-Derived Fibroblast and iPSC-Derived Neuronal Cultures
13. Machine learning in Huntington's disease: exploring the Enroll-HD dataset for prognosis & driving capability prediction
14. Using a suite of ontologies for preserving workflow-centric research objects
15. Μελέτη της έκφρασης του κυκλικού RNA circCCT3 σε μονοπύρηνα κύτταρα περιφερικού αίματος ασθενών με χρόνια Β-λεμφοκυτταρική λευχαιμία
16. Structured Review on Huntington's Disease: Generating Hypotheses on Iron Dysregulation - Poster
17. Integration of targeted metabolomics and transcriptomics identifies deregulation of phosphatidylcholine metabolism in Huntington’s disease peripheral blood samples
18. Exploring Pathway Interactions to Detect Molecular Mechanisms of Disease: 22q11.2 Deletion Syndrome
19. H43 Exploring the enroll-hd dataset using machine learning for personalized predictions
20. A07 A comparative study on blood and brain hd signatures: comparing mouse and human hd gene expression data
21. Effects of ageing and corrosion of reinforcement on the seismic response of RC buildings
22. Data & Data Sharing Definitions
23. Additional file 1 of Common disease signatures from gene expression analysis in Huntingtonâ s disease human blood and brain
24. A putative role for genome-wide epigenetic regulatory mechanisms in Huntington’s disease: A computational assessment
25. B16 Common disease signatures from gene expression analysis in huntington’s disease human blood and brain
26. Common disease signatures from gene expression analysis in Huntington’s disease human blood and brain
27. The Implicitome: A Resource for Rationalizing Gene-Disease Associations
28. Multidisciplinary Collaboration to Facilitate Hypotheses Generation in Huntington's Disease
29. Using a Suite of Ontologies for Preserving Workflow-Centric Research Objects
30. Nanopublications for exposing experimental data in the life-sciences: a Huntington's Disease case study
31. Structuring research methods and data with the research object model: genomics workflows as a case study
32. Structuring research methods and data with the research object model:genomics workflows as a case study
33. Structuring research methods and data with the research object model: genomics workflows as a case study
34. Explain your data by Concept Profile Analysis Web Services
35. Nanopublications for exposing experimental data in the life-sciences:a Huntington's Disease case study
36. Multidisciplinary Collaboration to Facilitate Hypotheses Generation in Huntington's Disease.
37. Opening new gateways to workflows for life scientists.
38. Additional file 3 of Common disease signatures from gene expression analysis in Huntingtonâ s disease human blood and brain
39. Additional file 3 of Common disease signatures from gene expression analysis in Huntingtonâ s disease human blood and brain
40. Opening new gateways to workflows for life scientists.
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