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
Clinical Scorecard: A Flexible Distance-Driven Method for Selecting Gene Expression Across Various Biological Systems
At a Glance
Category Detail
Condition Differential Gene Expression Analysis Key Mechanisms Distance-based gene selection leveraging multidimensional expression distances Target Population Macrophages and human embryonic stem cells Care Setting Computational analysis of mRNA-seq data
Key Highlights
Development of the Cartesian Distance−Based Gene Expression (CDBGE) selector Improved identification of subtype−specific markers in macrophage polarization Validation with in vitro human macrophages and embryonic stem cell differentiation datasets Enhanced performance compared to standard differential expression pipelines Robust and scalable tool for analyzing complex mRNA−seq datasets Guideline-Based Recommendations
Diagnosis
Utilize CDBGE selector for identifying differentially expressed genes Management
Apply the method to analyze macrophage polarization and stem cell differentiation Monitoring & Follow-up
Evaluate transcriptional transitions over time in macrophage responses Risks
Traditional methods may inadequately capture the complexity of cellular phenotypes Patient & Prescribing Data
Human subjects with varying macrophage polarization states
CDBGE selector can enhance understanding of macrophage responses to stimuli
Clinical Best Practices
Incorporate distance-based methods for gene selection in transcriptomic studies Consider the dynamic nature of macrophage phenotypes in research and clinical settings Related Resources & Content
