Gradient Biotech
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Research Areas

Computational BiologySingle-cell, bulk RNA-seq, spatial, and biomarkers
CardiologyCardiovascular signals, cohorts, and interpretationImmunologyImmune cell states, signaling networks, and repertoire dynamicsNeurologyBrain connectivity, functional imaging, and electrophysiologyOncologyTumor microenvironment, immune response, mutations, and survivalPathologyWhole-slide imaging, tissue quantification, and spatial pathology

Application

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Platform overview

Gradient Biotech is a multi-area scientific research workspace. It brings study management, reproducible compute pipelines, interactive result exploration, and analysis into one application shared across research domains.

How the platform is organized

Work is organized into research areas. Each area has its own data types, pipeline workflows, and analysis views, all sharing the same organization model, user accounts, and database.

AreaWhat it covers
Computational BiologySingle-cell, bulk RNA-seq, spatial transcriptomics, biomarker discovery
CardiologyCardiovascular signal recordings, HRV analysis, cohort comparisons
ImmunologyImmune annotation, TCR/BCR repertoire, cytokine signaling, disease cohorts, multi-modal profiling
NeurologyBrain connectivity, EEG, fMRI, graph metrics, and cohort network analysis
OncologyTumor cohorts, mutation landscapes, TME signaling, immuno-oncology, survival analysis
PathologyWhole-slide imaging, tissue detection, cell segmentation, spatial quantification

What is shared across areas

  • Organizations and users — a single account and org model across all areas
  • Reproducible pipelines — every job records its parameters, version, status, and output artifacts
  • AI interpretation — summaries grounded in recorded analysis outputs, not generated claims

Navigation

Use the Research Areas menu in the top navigation bar to switch between areas. Each area has its own dashboard. Area-specific controls (studies, jobs, settings) appear in the navbar when that area is active.