BioFlow ML Studio

Biomedical data upload, preprocessing, visualization, and machine learning workflows for translational research.

BioFlow ML Studio is a prototype platform for biomarker discovery and predictive modeling, supporting dataset ingestion, QC, feature selection, sparse signature modeling, calibration, external validation, decision analysis, and automated report generation.

Open Demo App View Workflow

What it does

Data Upload & QC

Upload expression matrices and metadata
Validate sample IDs and labels
Run PCA-based quality control

Feature Selection & Signatures

Rank candidate features
Build sparse signatures
Inspect coefficient-based biomarkers

Modeling & Validation

Train predictive models
Run external validation
Review calibration and threshold behavior

Reports & Reproducibility

Export HTML reports
Save project snapshots
Package analysis runs as project packs

Core workflow

Upload dataset
QC and preprocessing
Feature ranking
Predictive modeling
Signature inspection
External validation
Calibration and decision analysis
Report export

Target use cases

Bioinformatics workflows
Translational research teams
Biomarker discovery projects
Transcriptomic outcome prediction
Reproducible internal analysis demos

Why it matters

BioFlow ML Studio turns a fragmented notebook-style workflow into a more structured and reproducible analysis experience. It is designed to help teams move from raw biomedical tables to interpretable modeling outputs, validation summaries, and exportable reports.