首页|Data on Muscular Atrophy Reported by Zhenyu Zhang and Colleagues (Epigenetic characterization of sarcopenia-associated genes based on machine learning and network screening)

Data on Muscular Atrophy Reported by Zhenyu Zhang and Colleagues (Epigenetic characterization of sarcopenia-associated genes based on machine learning and network screening)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Musculoskeletal Diseases and Conditions - Muscular Atrophy isthe subject of a report. According to news reporting originating from Shenzhen, People’s Republic ofChina, by NewsRx correspondents, research stated, “To screen characteristic genes related to sarcopeniaby bioinformatics and machine learning, and to verify the accuracy of characteristic genes in the diagnosisof sarcopenia. Download myopia-related data sets from geo public database, find the differential genesthrough R language limma package after merging, STRING database to build protein interaction network,and do Go analysis and GSEA analysis to understand the functions and molecular signal pathways thatmay be affected by the differential genes.”

ShenzhenPeople’s Republic of ChinaAsiaAge and Ageing Diseases and ConditionsCyborgsDiagnostics and ScreeningEmerging TechnologiesGeneticsHealth and MedicineMachine LearningMuscular AtrophyMusculoskeletal Diseases and ConditionsNervous System Diseases and ConditionsNeurologic ManifestationsNeuromuscular ManifestationsSarcopenia

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.31)