The Journal of Neurobehavioral Sciences

The Journal of Neurobehavioral Sciences

Classification of Schizophrenia and Bipolar Disorder by Using Machine Learning Algorithms

Yazarlar: Cemil Can Saylan , Kaan Yılancıoğlu

Cilt 3 , Sayı 3 , 2016 , Sayfalar 92-95

Konular:-

DOI:10.5455/JNBS.1471026038

Anahtar Kelimeler:-

Özet: Data mining based investigations of disease mediating factors and related potential diagnostic biomarkers using genomic information obtained from gene expression analysis tools become very informative and useful. In the present study, public Gene Expression Omnibus (GEO) genome wide expression dataset (ID: GSE12654) consisting of schizophrenia, bipolar disorders patients besides normal groups were analyzed by using different classification algorithms including kNN, naïve bayes and decision tree. A set of most differentially expressed genetic features (p

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@article{2016, title={Classification of Schizophrenia and Bipolar Disorder by Using Machine Learning Algorithms}, volume={3}, number={92–95}, publisher={Nörodavranış Bilimleri Dergisi}, author={Cemil Can Saylan , Kaan Yılancıoğlu}, year={2016} }
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Cemil Can Saylan , Kaan Yılancıoğlu. (2016). Classification of Schizophrenia and Bipolar Disorder by Using Machine Learning Algorithms (Vol. 3). Vol. 3. Nörodavranış Bilimleri Dergisi.
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Cemil Can Saylan , Kaan Yılancıoğlu. Classification of Schizophrenia and Bipolar Disorder by Using Machine Learning Algorithms. no. 92–95, Nörodavranış Bilimleri Dergisi, 2016.
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