首页|Central South University Reports Findings in Bioinformatics (Identification of M ACC1 as a potential biomarker for pulmonary arterial hypertension based on bioin formatics and machine learning)

Central South University Reports Findings in Bioinformatics (Identification of M ACC1 as a potential biomarker for pulmonary arterial hypertension based on bioin formatics and machine learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news reporting from Hunan, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Pulmonary arte rial hypertension (PAH) is a life-threatening disease characterized by abnormal earlyactivation of pulmonary arterial smooth muscle cells (PASMCs), yet the und erlying mechanisms remain tobe elucidated. Normal and PAH gene expression profi les were obtained from the Gene Expression Omnibus(GEO) database and analyzed u sing gene set enrichment analysis (GSEA) to uncover the underlyingmechanisms.”

HunanPeople’s Republic of ChinaAsiaBioinformaticsBiomarkersBiotechnologyCardiovascular Diseases and Conditio nsCyborgsDiagnostics and ScreeningEmerging TechnologiesGeneticsHealth and MedicineHypertensionInformation TechnologyMa

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.12)