Machine Learning Techniques for Identifying Diabetes and Its Complications Based on Long Non-coding RNAs
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-1941-0_11
Reference42 articles.
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3. Sathishkumar C, Prabu P, Mohan V, Balasubramanyam M (2018) Linking a role of lncRNAs (long non-coding RNAs) with insulin resistance, accelerated senescence, and inflammation in patients with type 2 diabetes. Hum Genomics 12:41
4. Kavakiotis I, Tsave O et al (2017) Machine learning and data mining methods in diabetes research. Comput Struct Biotechnol J 15(2017):104–116
5. Alberti KG, Zimmet PZ (1998) Defnition, diagnosis and classifcation of diabetes mellitus and its complications. Part 1: diagnosis and classifcation of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15(7):539–553
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