IPA-Biomarker is a capability within IPA that identifies the most promising and relevant biomarker candidates within 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 disease stage or 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), urine and other bodily fluids. Select parameters that are most relevant to a biomarker discovery project.
- My 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.
The Biomarker Filter capability rapidly identifies the best biomarker candidates based on biological characteristics most relevant to the discovery study:
- Determine if genes or proteins are detected in blood, urine, and PBMCs
- Discover what tissues, genes, or proteins are expressed
- Measure if genes or proteins are upregulated or downregulated in the dataset
- Assess if the candidate biomarker has a strong association with disease processes
The analysis output rapidly identifies top candidate molecular biomarkers that meet select biological criteria.
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.