Gene shaving using a sensitivity analysis of kernel based machine learning approach, with applications to cancer data

Author:

Alam Md. AshadORCID,Shahjaman Mohammd,Rahman Md. Ferdush,Hossain Fokhrul,Deng Hong-Wen

Funder

National Institutes of Health

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference36 articles.

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2. A review of feature selection and feature extraction methods applied on microarray data;ZM Hira;Advances in Bioinformatics,2015

3. An empirical bayes’ approach to joint analysis of multiple microarray gene expression studies;L Ruan;Biometrics,2011

4. A Integrated Analysis of gene expression and copy number data on gene shaving using independent component analysis;J Sheng;IEEE/ ACM Transactions on computational biology and bioinformatics,2011

5. Random forests for genomic data analysis;X Chen;Genomics,2012

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