Isfahan University of Medical Sciences

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Faculty Members have conducted research related to the A Novel Feature Ranking Method for Prediction of Cancer Stages Using Proteomics Data
Mohamadreza Sehhati
Mohamadreza Sehhati

Assistant Professor of Biomedical Engineering

Department of Bioinformatics, School of Advanced Medical Technology

Isfahan University of Medical Sciences

Related Documents
4. An Optimized Framework for Cancer Prediction Using Immunosignature, Journal of Medical Signals and Sensors (2018)
8. Identification of Gene Signatures for Classifying of Breast Cancer Subtypes Using Protein Interaction Database and Support Vector Machines, 2015 5th International Conference on Computer and Knowledge Engineering, ICCKE 2015 (2015)
12. Stable Gene Signature Selection for Prediction of Breast Cancer Recurrence Using Joint Mutual Information, IEEE/ACM Transactions on Computational Biology and Bioinformatics (2015)
All Documents
23. An Optimized Framework for Cancer Prediction Using Immunosignature, Journal of Medical Signals and Sensors (2018)
24. An Optimized Framework for Cancer Prediction Using Immunosignature, Journal of Medical Signals and Sensors (2018)
37. Identification of Gene Signatures for Classifying of Breast Cancer Subtypes Using Protein Interaction Database and Support Vector Machines, 2015 5th International Conference on Computer and Knowledge Engineering, ICCKE 2015 (2015)
38. Stable Gene Signature Selection for Prediction of Breast Cancer Recurrence Using Joint Mutual Information, IEEE/ACM Transactions on Computational Biology and Bioinformatics (2015)