SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing
Identifying therapeutic target genes from single-cell RNA sequencing (scRNA-seq) data remains a fundamental challenge in translational biology. Unlike bulk assays, scRNA-seq captures heterogeneous cellular states and rare subpopulations, but this same heterogeneity makes target discovery highly sensitive to analytical choices throughout the pipeline, including preprocessing, cell population selection, differential expression analysis, and downstream biological interpretation. As a result, existi
Record details
Published: 26 July 2026
Source: arXiv cs.LG
Category: Research
Topics: Agents & autonomy · Biotech
Retrieved: 29 July 2026
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ethics.ai (26 July 2026), “SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing,” evidence record 14491, https://ethics.ai/record/14491 (originally published by arXiv cs.LG).
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