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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.
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- 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.
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Biomarker Filter
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.

My Pathways
Use My Pathways tools on ranked biomarker lists
to elucidate molecular mechanisms linking candidate
markers to the disease or biological response
of interest.

Biomarker Comparison
Use Biomarker Comparison feature to generate
a list of candidate markers that are unique
to one treatment or disease, or common across
all treatments.

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