首页|Cardiff University Reports Findings in Machine Learning (Utilizing biological ex perimental data and molecular dynamics for the classification of mutational hots pots through machine learning)
Cardiff University Reports Findings in Machine Learning (Utilizing biological ex perimental data and molecular dynamics for the classification of mutational hots pots through machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating in Cardiff, United Kingdom, by NewsRx journalists, research stated, “Benzo[] pyrene, a notorious DNA-damaging carcinogen, belongs to the family of polycyclic aromatic hydrocarbons commonly found in tobacco smoke. Surprisingly, nucleotide excision repair (NER) machinery exhibits inefficiency in recognizing specific b ulky DNA adducts including Benzo[]pyrene D iol-Epoxide (BPDE), a Benzo[]pyrene metabo lite.”
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