首页|University of Wurzburg Reports Findings in Machine Learning (An orchestra of mac hine learning methods reveals landmarks in singlecell data exemplified with agi ng fibroblasts)
University of Wurzburg Reports Findings in Machine Learning (An orchestra of mac hine learning methods reveals landmarks in singlecell data exemplified with agi ng fibroblasts)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Wurzburg, Germ any, by NewsRx journalists, research stated, “In this work, aPython framework f or characteristic feature extraction is developed and applied to gene expression dataof human fibroblasts. Unlabeled feature selection objectively determines g roups and minimal gene setsseparating groups.”Financial supporters for this research include Deutsche Forschungsgemeinschaft, Deutsche Forschungsgemeinschaft,Land Bavaria.
WurzburgGermanyEuropeConnective Ti ssue CellsCyborgsEmerging TechnologiesFibroblastsGeneticsMachine Learn ing
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