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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Abstract
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.”
Key words
Beijing/People’s Republic of China/Asi a/Bioinformatics/Biomarkers/Biotechnology/Cardiovascular Diseases and Condit ions/Cellular Structures/Cyborgs/Cytoplasm/Cytoplasmic Structures/Diagnosti cs and Screening/Embolism and Thrombosis/Emerging Technologies/Genetics/Heal th and Medicine/Hematology/Immunology/Information Technology/Intracellular S pace/Machine Learning/Organelles/Ribosomes/Testing/Thromboembolism/Vascula r Diseases and Conditions/Venous Thromboembolism
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