首页|Capital Medical University Reports Findings in Bioinformatics (Bioinformatics an d Machine Learning-Based Identification of Critical Biomarkers and Immune Infilt ration in Venous Thromboembolism)

Capital Medical University Reports Findings in Bioinformatics (Bioinformatics an d Machine Learning-Based Identification of Critical Biomarkers and Immune Infilt ration in Venous Thromboembolism)

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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 originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated,“Th is study aims to use bioinformatics and machine learning algorithms to screen an d analyze the keygenes involved in venous thromboembolism (VTE) and explore the relationship between these biomarkersand immune cell infiltration. The gene ex pression profile with the identifier GSE19151 was downloadedfrom the GEO databa se.”

BeijingPeople’s Republic of ChinaAsi aBioinformaticsBiomarkersBiotechnologyCardiovascular Diseases and Condit ionsCellular StructuresCyborgsCytoplasmCytoplasmic StructuresDiagnosti cs and ScreeningEmbolism and ThrombosisEmerging TechnologiesGeneticsHeal th and MedicineHematologyImmunologyInformation TechnologyIntracellular S paceMachine LearningOrganellesRibosomesTestingThromboembolismVascula r Diseases and ConditionsVenous Thromboembolism

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.16)