A versatile distance-based approach for gene expression selection across diverse biological systems - Report - MDSpire

A versatile distance-based approach for gene expression selection across diverse biological systems

  • By

  • Qiaoling Ye

  • Rodney Macedo

  • Laura Martinez-Verbo

  • Vytaute Plekaviciute

  • Jana Vazquez Navarro

  • Elisabet Garcia

  • Joan Pagès-Oliveras

  • Juan-José Lozano

  • Cecilia Cabrera

  • Aida Perramon-Malavez

  • Daniel López

  • Clara Prats

  • Maria-Rosa Sarrias

  • July 13, 2026

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Clinical Report: A Flexible Distance-Driven Method for Selecting Gene Expression

Overview

The Cartesian Distance−Based Gene Expression (CDBGE) selector offers a method for identifying differentially expressed genes by utilizing multidimensional expression distances.

Background

Differential gene expression analysis is crucial for understanding immune cell phenotypes, particularly in macrophages, which exhibit significant plasticity and diverse functional states. Traditional methods often fail to capture the complexity of gene expression.

Data Highlights

No numerical data available in the source material.

Key Findings

  • The CDBGE selector identifies differentially expressed genes using multidimensional expression distances.
  • It was validated using in vitro human macrophages stimulated with various agents.
  • The method demonstrated improved identification of subtype-specific markers compared to standard differential expression pipelines.
  • CDBGE effectively captured dynamic transcriptional transitions over time.
  • This approach is scalable and applicable across various biological systems.

Clinical Implications

The CDBGE selector provides a framework for analyzing complex gene expression data.

Conclusion

The CDBGE selector represents an advancement in differential gene expression analysis.

Related Resources & Content

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  2. Cancer Care Ontario, 2025 -- Oncology guidelines and major trial data underpinning multigene expression signatures
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  4. Frontiers in Oncology — Spatial RNA velocity reveals cellular state transitions and prognostic markers in the melanoma microenvironment
  5. Archives of Toxicology — Activity of Gene Networks in Cultured Primary Hepatocytes Closely Resembles That of Diseased Liver Tissue in Mammals
  6. Clinical Rheumatology — Identifying Genetic Drug Targets in Systemic Lupus Erythematosus: Insights from a Genome-Wide Mendelian Randomization Analysis
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  8. Spatial RNA velocity reveals cellular state transitions and prognostic markers in the melanoma microenvironment
  9. Activity of Gene Networks in Cultured Primary Hepatocytes Closely Resembles That of Diseased Liver Tissue in Mammals
  10. MM23 | Molecular Diagnostic Methods for Solid Tumors (Nonhematological Neoplasms)
  11. | Cancer Care Ontario
  12. Frontiers | Diagnosis of rejection following heart transplantation: diving into the future

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