Data4Cure Use Cases Single-Cell Analysis
For single-cell & translational researchers

Cell-type-resolved insight at single-cell resolution.

Single-cell, spatial and bulk-deconvolution analysis that resolves cell-type-specific mechanisms — with CURIE Cell Cluster Similarity annotating your clusters against thousands of prior single-cell analyses, so new data is read in the context of everything before it.

Overview

From a single cell to a clinical cohort.

Process, cluster, and annotate single-cell datasets — and integrate them with the rest of your evidence. The same pipelines handle scRNA-seq, CITE-seq, ATAC-seq, TCR/BCR sequencing, and spatial transcriptomics.

For bulk RNA-seq data, the deconvolution engine quantifies up to 64 cell types with seven competing algorithms — so you can see how cellular composition tracks with outcomes across an entire cohort.

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From a single cell to a clinical cohort.

Single-cell findings inform deconvolution; deconvolution informs cohort analysis; cohort analysis informs targets — all without leaving the platform.

Single-Cell App Cell-Type Deconvolution App CURIE Graph™
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See Single-Cell Analysis in action.

Walk through this solution with an applications scientist — focused on the questions that matter to you.