Causal analysis approaches in Ingenuity Pathway Analysis
Andreas Krämer, Jeff Green, Jack Pollard et al. · 2014
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Description
Krämer, Green, Pollard, and co-authors describe causal analysis approaches in Ingenuity Pathway Analysis, a commercial tool for interpreting gene-expression data. Prior biological knowledge greatly helps researchers make sense of such data. Causal networks built from relationships curated out of the literature are especially suited to the task.
Those networks let the software propose mechanistic hypotheses: which upstream regulators could explain an observed pattern of gene changes. Such hypotheses guide follow-up experiments instead of leaving teams with raw lists. The paper explains the reasoning behind a widely used commercial analysis platform.
Catalog record
| CREATOR | Andreas Krämer, Jeff Green, Jack Pollard et al. |
|---|---|
| YEAR | 2014 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| LICENSE | Creative Commons Attribution License |
| RIGHTS | CC BY |
| SOURCE | PubMed Central |