Network neighborhood operates as a drug repositioning method for cancer treatment
PeerJ, vol. 11, no. , pp. e15624–
Ali Cüvitoğlu, Zerrin Işık
NMSDR: Drug repurposing approach based on transcriptome data and network module similarity
Molecular Informatics, vol. 42, no. 3, pp. –
Ülkü Ünsal, Ali Cüvitoğlu, Kemal Turhan, Zerrin Işık
Application of network embedding and transcriptome data in supervised drug repositioning
International Journal of Information Technology, vol. 15, no. , pp. –
Özge Kart, Gökhan Kökçü, İrem Naz Çoçan, Berivan Tonç, Ali Cüvitoğlu, Zerrin Işık
Akciğer ve Prostat Kanseri için İlaç Yeniden Konumlandırmanın Uygulanması
European Journal of Science and Technology, vol. , no. , pp. 297–304
Ali Cüvitoğlu, Zerrin Işık
Predicting drug synergy for precision medicine using network biology and machine learning
Journal of Bioinformatics and Computational Biology, vol. 17, no. 02, pp. 1950012–
Ali Cüvitoğlu, Joseph Zhou, Sui Huang, Zerrin Işık
Evaluation Machine-Learning Approaches for Classification of Cryotherapy and Immunotherapy Datasets
International Journal of Machine Learning and Computing,, vol. 8, no. 4, pp. 331–335
Ali Cüvitoğlu, Zerrin Işık