# New algorithm enhances gene expression marker identification Breakthrough method simplifies genetic analysis across diverse biological systems. - **Source:** [Phys.org - latest science and technology news stories](https://brifing.si/source/8b0f98da-d179-4c93-871f-7ac460bf9c61) - **Published:** 2026-07-15 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/e3cf4526-bae4-4108-b677-6300d3e54206 ## New era in gene analysis Researchers have developed a novel computational method that enables more accurate selection of genes characterizing different cellular states from mRNA-seq data. This approach makes complex biological data analysis more interpretable. ## Interdisciplinary collaboration The study was conducted through collaboration between researchers from IGTP, UPC, IrsiCaixa and CIBEREHD. The convergence of different expertise played a crucial role in developing this innovative method. ## Technical advantages The new algorithm can identify gene expression markers more precisely than traditional methods. This provides significant advantages especially in studying complex biological systems. ## Medical research implications The approach could become a valuable tool for understanding disease mechanisms and developing personalized treatments. It shows particular promise for immunology studies. ## Publication impact The research was published in Frontiers in Immunology, a prestigious journal that has amplified the study's visibility in the scientific community. ## Future of bioinformatics This development is considered a significant advancement in bioinformatics. More accurate genetic analyses are expected to open new horizons in biological research. ## Sources covering this story - https://phys.org/news/2026-07-algorithm-gene-marker-identification-diverse.html — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._