Molecular & integrative analysis
Place molecular changes into gene sets, pathways and interpretable biological networks.
Analyses are tailored to your experimental design, data quality and research question. The workflow and deliverables are agreed following project review.
Analysis modules
Gene identifier harmonization and background-universe review.
Over-representation analysis.
Ranked gene-set enrichment.
Sample-level pathway and signature scoring.
Comparisons of enriched programs across contrasts.
Exploratory transcription-factor activity and network context.
Data and metadata
Gene lists with the tested universe; ranked statistics; or compatible expression matrices, depending on the analysis. Organism and identifier system are required.
Proposed deliverables
Annotated enrichment tables; leading-edge genes where relevant; pathway figures and background/collection/version documentation.
Interpretation and feasibility
Statistical enrichment is not causal pathway activation. Gene-set and database licences are separate from the analysis package licence.
Methods and references
Methods, reference resources and software are selected for each project after protocol, feasibility and licence review. Applicable versions, references and interpretation limits are documented in the agreed workflow.