IPA-Biomarkers is a capability within IPA that identifies the most promising and relevant biomarker candidates most relevant to the study within the experimental data.
- Prioritize molecular biomarker candidates based on key biological characteristics
- Elucidate mechanism linking potential markers to a disease or biological process of interest.
- Perform analysis across biomarker lists to find biomarker candidates unique to a condition such as a particular disease stage or is common across all stages.
- Understand the molecular differences between patient populations.
- IPA-Biomarker: Rank the genes and proteins in a dataset according to the characteristics that make a gene product a biologically plausible candidate biomarker.
- Biomarker Filter: Measure whether a particular gene or protein is detectable in sentinel tissues (e.g., blood, PBMCs), or urine or other bodily fluids. Select parameters that are most relevant to a biomarker discovery project.
- Pathway tools: Elucidate mechanisms linking potential markers to the disease or biological process of interest.
- Biomarker Comparison: Generate a list of candidate markers unique to one treatment or disease, or common across all treatments.
Use My Pathways tools on ranked biomarker lists to elucidate molecular mechanisms linking candidate markers to the disease or biological response of interest.
Use Biomarker Comparison feature to generate a list of candidate markers that are unique to one treatment or disease, or common across all treatments.