AI biological reasoning platform

Simulate genes. Reason pathways. Generate publishable hypotheses.

BioFlow turns biomedical datasets into virtual KO/OE simulations, biomarker models, pathway reasoning, and report-ready scientific narratives.
Designed for translational bioinformatics, single-cell inspired perturbation analysis, target prioritization, and fast hypothesis generation — without forcing researchers to stitch together many disconnected tools.
🚀 Launch BioFlow DemoView TP53 KO Simulation
Virtual gene KO/OEPathway causal reasoningBiomarker MLCalibration + DCAAI scientific report
TP53KO DNA repair Apoptosis Proliferation Cell cycle
Perturbation result
TP53 KO
Predicted disease-cell shift with pathway-level mechanistic interpretation.
AI reasoning
Apoptosis ↓ · DNA repair ↓ · cell-cycle escape ↑ · genomic instability ↑
Output
Report-ready
Mechanism, evidence, cautions, and next validation experiments.
Flagship capability

Virtual perturbation simulation that looks like an AI scientist.

Instead of only showing ROC curves and heatmaps, BioFlow now highlights the question researchers actually care about: what happens if I perturb this gene?

Example: TP53 knockout in cancer cells

BioFlow converts a perturbation query into pathway impact, phenotype shift, and a structured scientific interpretation.

Apoptosis↓ decreased
DNA damage response↓ impaired
Cell-cycle escape↑ increased
Genomic instability↑ increased
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Target gene context

Maps the selected gene to disease mechanisms, known pathways, and plausible perturbation effects.

🧠
Mechanistic reasoning

Generates hypothesis-level explanations rather than just statistics or model scores.

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Validation suggestions

Suggests follow-up experiments, external datasets, or pathway checks for stronger evidence.

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Report integration

Feeds the perturbation summary into the AI Copilot and scientific report export.

End-to-end workflow

One platform from upload to biological story.

1
UploadExpression matrix, metadata, labels, or DEG/signature data.
2
DiscoverQC, feature selection, signatures, heatmaps, and biomarker ranking.
3
ModelTrain and compare interpretable ML models with validation metrics.
4
SimulateRun virtual KO/OE/inhibition and infer pathway changes.
5
ReportExport publication-ready summaries with AI-assisted interpretation.
Supporting analytics

Traditional bioinformatics still included — but no longer the main story.

Modeling, heatmap visualization, and automated reporting remain available as supporting capabilities below the AI perturbation layer.

BioFlow modeling and validation previewModeling & Validation

Compare predictive models and review validation outputs.

BioFlow biomarker heatmap previewHeatmap & Signature View

Visualize biomarker features and expression patterns.

BioFlow report export previewAutomated Report Export

Export structured scientific summaries and reports.

Position BioFlow as an AI biological reasoning engine — not just another analysis dashboard.

The new homepage leads with virtual perturbation and mechanistic reasoning, while keeping your existing ML, heatmap, validation, and report features as evidence of a complete platform.

Launch DemoExplore Simulation