| Issue Date | Title | Author(s) |
1 | 2016 | Anti-cancer Drug Activity Prediction by Ensemble Learning | Tolan, Ertan; Tan, Mehmet |
2 | 2021 | Automated Molecule Generation using Deep Q-Learning and Graph Neural Networks | Isik R.; Tan, Mehmet |
3 | 2016 | Biological Network Derivation by Positive Unlabeled Learning Algorithms | Pancaroglu, Doruk; Tan, Mehmet |
4 | Sep-2020 | Chemical Induced Differential Gene Expression Prediction on LINCS Database | Işık, R.; Ekşioğlu, I.; Maral, B. C.; Bardak, B.; Tan, Mehmet |
5 | 2021 | A Convolutional Deep Clustering Framework for Gene Expression Time Series | Özgül, Ozan Frat; Bardak, Batuhan ; Tan, Mehmet |
6 | 2021 | DeepGrep: A deep convolutional neural network for predicting gene-regulating effects of small molecules | Bardak B.; Tan, Mehmet |
7 | 2017 | Disease outbreak prediction by data integration and multi-task learning | Bardak, Batuhan ; Tan, Mehmet |
8 | Sep-2019 | Drug response prediction by ensemble learning and drug-induced gene expression signatures | Tan, Mehmet ; Özgül, Ozan Fırat; Bardak, Batuhan ; Ekşioğlu, Işıksu; Sabuncuoğlu, S. |
9 | 2014 | Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles | Tan, Mehmet |
10 | 2017 | Edge distance graph kernel and its application to small molecule classification | Tan, Mehmet |
11 | 2012 | Effective Enrichment of Gene Expression Data Sets | Şirin, Utku; Erdoğdu, Utku; Tan, Mehmet ; Polat, Faruk; Alhajj, Reda |
12 | Jun-2016 | Effective gene expression data generation framework based on multi-model approach | Şirin, Utku; Erdoğdu, Utku; Polat, Faruk; Tan, Mehmet ; Alhajj, Reda |
13 | 2011 | Employing Machine Learning Techniques for Data Enrichment: Increasing the number of samples for effective gene expression data analysis | Erdoğdu, Utku; Tan, Mehmet ; Alhajj, Reda; Polat, Faruk; Demetrick, Douglas; Rokne, Jon |
14 | 2010 | Feature Selection for Graph Kernels | Tan, Mehmet ; Polat, Faruk; Alhajj, Reda |
15 | 2018 | A Fully Unsupervised Framework for Scoring Driving Style | Özgül, Ozan Fırat; Çakır, Mehmet Ulaş; Tan, Mehmet ; Amasyalı, Mehmet Fatih; Hayvacı, Harun Taha |
16 | 2017 | Hücre Hattı Duyarlılık İmzaları ve Toplu Yapay Öğrenme Metotları ile Anti-Kanser İlaç Aktivite Tahmini | Tan, Mehmet ; Sabuncuoğlu, Suna |
17 | 2021 | Improving clinical outcome predictions using convolution over medical entities with multimodal learning | Bardak, Batuhan ; Tan, Mehmet |
18 | 2014 | Improving Positive Unlabeled Learning Algorithms for Protein Interaction Prediction | Pancaroglu, Doruk; Tan, Mehmet |
19 | 2011 | Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks | Tan, Mehmet ; Alshalalfa, Mohammed; Alhajj, Reda; Polat, Faruk |
20 | 2013 | Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data | Erdoğdu, Utku; Tan, Mehmet ; Alhajj, Reda; Polat, Faruk; Rokne, Jon; Demetrick, Douglas |