Long DEG tables hide coordinated patterns
RESEARCH PROBLEM
How can a research team inspect differential-expression results without losing statistical and biological context?
Use an evidence-aware visual workflow that keeps effect size, adjusted significance, expression patterns and study design visible together.
WHY THIS IS DIFFICULT
Thresholds are easily mistaken for biological boundaries
Figures can become detached from upstream assumptions
RESPONSIBLE APPROACH
Validate required fields and comparison labels
Inspect volcano, heatmap and sample-level views together
Record thresholds and provenance with exported figures
RELEVANT FORNEUS RESEARCH
Working demonstration
OmicsVis — Differential Expression Explorer
Interactive exploration of differential gene expression and transcriptomic result tables.
View evidence and screenshots ↗Working demonstrationGEO Data Miner & GSEA
A guided workflow for finding public GEO studies and preparing differential-expression and enrichment analysis.
View evidence and screenshots ↗INTERPRETATION BOUNDARY
- The workflow does not replace raw-read processing
- Results remain dependent on experimental design and upstream statistics
QUESTIONS THIS PAGE ANSWERS
- interactive DEG visualisation
- how to interpret a volcano plot
- explore transcriptomics biomarkers