首页|Researchers at Yale School of Public Health Have Published New Study Findings on Machine Learning (SDePER: a hybrid machine learning and regression method for c ell-type deconvolution of spatial barcoding-based transcriptomic data)
Researchers at Yale School of Public Health Have Published New Study Findings on Machine Learning (SDePER: a hybrid machine learning and regression method for c ell-type deconvolution of spatial barcoding-based transcriptomic data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence.According to news reporting from the Yale School of Public Hea lth by NewsRx journalists, research stated, “Spatial barcoding-based transcripto mic (ST) data require deconvolution for cellular-level downstream analysis.”Financial supporters for this research include Foundation For The National Insti tutes of Health; National Science Foundation; Philippe Foundation; Fond De Dotat ion Du Souffle; Bourse De Mobilite Chu De Caen; Bourse De Mobilite Internation I nterregion Nord Ouest G4.
Yale School of Public HealthCyborgsE merging TechnologiesMachine Learning
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