Gradient Biotech

Data upload

Oncology studies combine molecular datasets with clinical cohort metadata, managed from the study Data page.

Samples

Register samples on the study Data page with:

FieldPurpose
External IDSample identifier used across pipelines
Patient IDPatient key for clinical endpoint joins
TimepointLongitudinal position (baseline, on-treatment, relapse)
Group labelCohort comparison group (responder, non-responder, arm A/B)
Response statusClinical response category

Clinical endpoints

Add survival and outcome records per patient — endpoint type (e.g. overall survival), time to event, and whether the event was observed.

Survival analysis reads this data as a clinical CSV with patient_id, time_to_event_days, and event_observed columns — upload a matching file, or register endpoints individually and export.

Mutation datasets

Upload MAF-style mutation files on the Mutations page. Optional inputs:

InputRequiredPurpose
Mutation fileYesMAF-style CSV
Copy number fileNoCopy number alteration table
Panel size (Mb)NoSequencing panel size for TMB calculation (default 38.0)
Top genesNoNumber of genes in oncoprint (default 20)

Repertoire datasets

Upload TCR/BCR sequencing files on the Immune page alongside your expression matrix for immune profile analysis.

InputRequiredPurpose
Expression fileYesBulk or pseudo-bulk expression matrix
Repertoire fileNoTCR/BCR clonotype table

Expression data for communication and immune pipelines

Cell-cell communication requires per-cell expression and metadata CSV files:

FileRequired columns
Expression CSVcell_id plus gene columns
Metadata CSVcell_id, cell_type; optional condition for comparison

Immune profile requires a bulk expression matrix CSV with sample rows and gene columns.

Next steps