Showing results 4 to 23 of 38
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| Issue Date | Title | Author(s) |
| Sep-2020 | Chemical Induced Differential Gene Expression Prediction on LINCS Database | Işık, R.; Ekşioğlu, I.; Maral, B. C.; Bardak, B.; Tan, Mehmet |
| 2021 | A Convolutional Deep Clustering Framework for Gene Expression Time Series | Özgül, Ozan Frat; Bardak, Batuhan ; Tan, Mehmet |
| 2022 | Çizge sinir aglari ve derin takviyeli ögrenme kullanarak otomatik molekül üretimi | Işık, Rıza |
| 2021 | DeepGrep: A deep convolutional neural network for predicting gene-regulating effects of small molecules | Bardak B.; Tan, Mehmet |
| 2017 | Disease outbreak prediction by data integration and multi-task learning | Bardak, Batuhan ; Tan, Mehmet |
| 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. |
| 2014 | Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles | Tan, Mehmet |
| 2017 | Edge distance graph kernel and its application to small molecule classification | Tan, Mehmet |
| 2012 | Effective Enrichment of Gene Expression Data Sets | Şirin, Utku; Erdoğdu, Utku; Tan, Mehmet ; Polat, Faruk; Alhajj, Reda |
| Jun-2016 | Effective gene expression data generation framework based on multi-model approach | Şirin, Utku; Erdoğdu, Utku; Polat, Faruk; Tan, Mehmet ; Alhajj, Reda |
| 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 |
| 2010 | Feature Selection for Graph Kernels | Tan, Mehmet ; Polat, Faruk; Alhajj, Reda |
| 2018 | A Fully Unsupervised Framework for Scoring Driving Style | Özgül, Ozan Fırat; Çakır, Mehmet Ulaş; Tan, Mehmet ; Amasyalı, Mehmet Fatih; Hayvacı, Harun Taha |
| 2016 | Hastalık salgınlarının internet erişim ve arama verisi kullanılarak tahmini | Bardak, Batuhan |
| 2017 | Hücre Hattı Duyarlılık İmzaları ve Toplu Yapay Öğrenme Metotları ile Anti-Kanser İlaç Aktivite Tahmini | Tan, Mehmet ; Sabuncuoğlu, Suna |
| 2021 | Improving clinical outcome predictions using convolution over medical entities with multimodal learning | Bardak, Batuhan ; Tan, Mehmet |
| 2014 | Improving Positive Unlabeled Learning Algorithms for Protein Interaction Prediction | Pancaroglu, Doruk; Tan, Mehmet |
| 2011 | Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks | Tan, Mehmet ; Alshalalfa, Mohammed; Alhajj, Reda; Polat, Faruk |
| 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 |
| 2021 | İlaç Kaynaklı Gen İfadesi Değişimlerinin Tahmini ve İlaç Tasarımında Kullanımı | Tan, Mehmet ; Özadali Sari, Keriman |
