A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology
Link
https://link.springer.com/content/pdf/10.1007/s12539-020-00391-7.pdf
Reference37 articles.
1. Thomas A, Rebecca L (2015) Prevalence of diabetic retinopathy within a national diabetic retinopathy screening service. Br J Ophthalmol 99(1):64–68. https://doi.org/10.1136/bjophthalmol-2013-304017
2. Florez JC, Manning AK, Dupuis J (2007) A 100K genome-wide association scan for diabetes and related traits in the Framingham Heart Study: replication and integration with other genome-wide datasets. Diabetes 56(12):3063–3074. https://doi.org/10.2337/db07-0451
3. Hanson RL, Bogardus C, Duggan D (2007) A search for variants associated with young-onset type 2 diabetes in Americal Indians in 100K genotyping array. Diabetes 56(12):3045–3052. https://doi.org/10.2337/db07-0462
4. Rmapersaud E, Damcott CM, Fu M (2007) Identification of novel candidate genes for type 2 diabetes from a genome-wide association scan in the old order amish: evidence for replication from diabetes related quantitative traits and from independent populations. Diabetes 56(12):3053–3062. https://doi.org/10.2337/db07-0457
5. Das R, Kalita J, Bhattacharyya DK (2011) A pattern matching approach for clustering gene expression data. Int J Data Min Model Manag. https://doi.org/10.1504/IJDMMM.2011.041492
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