首页|Fudan University Reports Findings in Bioinformatics (Essential blood molecular s ignature for progression of sepsis-induced acute lung injury: Integrated bioinfo rmatic, single-cell RNA Seq and machine learning analysis)
Fudan University Reports Findings in Bioinformatics (Essential blood molecular s ignature for progression of sepsis-induced acute lung injury: Integrated bioinfo rmatic, single-cell RNA Seq and machine learning analysis)
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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 Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Inthis stu dy, we aimed to identify an essential blood molecular signature for chacterizing the progressionof sepsis-induced acute lung injury using integrated bioinforma tic and machine learning analysis. Theresults showed that a total of 88 functio nally related ALI-associated hub genes in sepsis were identified byMCODE analys is and they were enriched in infection and inflammtory responses, lung and cardi ovasculardisease pathways.”
ShanghaiPeople’s Republic of ChinaAs iaAcute Lung InjuryBioengineeringBioinformaticsBiotechnologyBlood Dise ases and ConditionsBloodstream InfectionCyborgsEmerging TechnologiesGene ticsHealth and MedicineInformation TechnologyLung Diseases and ConditionsLung InjuryMachine LearningRespiratory Tract Diseases and ConditionsSepsi sSepticemia
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