Registration for a live webinar on 'Innovative Vaccines and Viral Pathogenesis: Insights from Recent Monkeypox (Mpox) Research' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
Printable Handouts
Navigable Slide Index
- Introduction
- Biomarker selection
- Background
- General considerations on biomarkers
- Use of biomarkers in translational clinical R&D
- General implications of molecular processes
- Molecular processes in human
- Molecular processes representation
- Clinical phenotypes and disease terms
- Disease terms and molecular processes
- 1:1 relation
- Phenotypes, molecular processes, biomarkers
- Phenotypes, molecular processes, biomarkers (2)
- Phenotypes, molecular processes, biomarkers (3)
- 1:n relation
- Example: diabetic nephropathy
- Biomarkers for onset and progression of DN
- Disease terms and underlying process view
- Disease term process landscape (1)
- Disease term process landscape (2)
- Assumption
- Options in biomarker discovery, applications (1)
- Options in biomarker discovery, applications (2)
- Implications and use
- Biomarker panel discovery
- Basis: annotated relations networks
- Step 1: retrieve disease phenotype data
- Step 2: populate an interaction network
- Step 3: extract disease term-specific subgraph
- Step 4: subgraph segmentation
- Step 5: select for each process a marker
- Result
- Example: application of the steps
- DN data retrieval and consolidation
- DN subgraph construction
- DN subgraph and molecular process model
- Biomarker candidate panel selection
- Recall: scope and purpose
- Outlook: from marker panels to stratification
- Summary and key issues
- Acknowledgements
- Thank you!
Topics Covered
- Biomarkers
- Molecular processes
- Disease terms
- Multimarker panels
- Cross-Omics
- Interaction networks
- Molecular disease models
- Biomarker selection
- Chronic disease
- Patient stratification
Talk Citation
Mayer, B. (2013, November 5). A concept for multi-marker approaches in clinical proteomics [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved November 21, 2024, from https://doi.org/10.69645/RCUT3673.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. Bernd Mayer, Grant/Research Support (Principal Investigator): European Union FP& project SysKid (Systems Biology towards novel chronic kidney disease diagnosis and treatment) ; Stock Shareholder (Self-managed): emergentec biodevelopment GmbH, Gersthofer Str. 29-31, 1180 Vienna, Austria.