Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification.

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作者： Salman,Khan ^[1] ; Islam,Uddin ^[1] ; Mukhtaj,Khan ^[2] ; Nadeem,Iqbal ^[1] ; Huda M,Alshanbari ^[3] ; Bakhtiyar,Ahmad ^[4] ; Dost Muhammad,Khan ^[5]

作者单位： Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan. ^[1] Department of Information Technology, The University of Haripur, Haripur, Pakistan. ^[2] Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. ^[3] Higher Education Department Afghanistan, Kabul, Afghanistan. mbakahmad82@gmail.com. ^[4] Department of Statistics, Abdul Wali Khan University Mardan, Mardan, 23200, KP, Pakistan. ^[5]

关键词 5-Hydroxymethylcytosine Cancer Cardiovascular Deep learning Diabetes RNA

主题词贝叶斯定理(Bayes Theorem);算法(Algorithms);RNA(RNA);5-甲基胞嘧啶(5-Methylcytosine)

DOI 10.1038/s41598-024-59777-y

PMID 38643305

发布时间 2024-11-13

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