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Nizamettin Aydin
- > Home > Persons > Nizamettin Aydin
Publications
- 2018
- [j15]Elham Pashaei, Nizamettin Aydin:
Markovian encoding models in human splice site recognition using SVM. Comput. Biol. Chem. 73: 159-170 (2018) - 2017
- [j14]Elnaz Pashaei, Nizamettin Aydin:
Binary black hole algorithm for feature selection and classification on biological data. Appl. Soft Comput. 56: 94-106 (2017) - 2016
- [c41]Elham Pashaei, Mustafa Ozen, Nizamettin Aydin:
Splice sites prediction of human genome using AdaBoost. BHI 2016: 300-303 - [c40]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
Gene selection and classification approach for microarray data based on Random Forest Ranking and BBHA. BHI 2016: 308-311 - [c39]Elham Pashaei, Alper Yilmaz, Mustafa Ozen, Nizamettin Aydin:
A novel method for splice sites prediction using sequence component and hidden Markov model. EMBC 2016: 3076-3079 - [c38]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification. EMBC 2016: 3080-3083 - [c36]Elham Pashaei, Alper Yilmaz, Mustafa Ozen, Nizamettin Aydin:
Prediction of splice site using AdaBoost with a new sequence encoding approach. SMC 2016: 3853-3858 - 2015
- [c34]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
An application of black hole algorithm and decision tree for medical problem. BIBE 2015: 1-6 - [c32]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
A novel gene selection algorithm for cancer identification based on random forest and particle swarm optimization. CIBCB 2015: 1-6 - [c30]Elnaz Pashaei, Mustafa Ozen, Nizamettin Aydin:
Improving medical diagnosis reliability using Boosted C5.0 decision tree empowered by Particle Swarm Optimization. EMBC 2015: 7230-7233
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