Mehmet Tan

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 19

Top Topics

Graph Classification

Data Generation

Gene Expression

Ensemble Learning

Top Venues

Artif. Intell. Medicine

Publications

Bahattin Can Maral, Mehmet Tan
Transfer Learning for Predicting Gene Regulatory Effects of Chemicals. AIAI (2) (2022)
Batuhan Bardak, Mehmet Tan
Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions. CIBCB (2021)
Ozan Firat Özgül, Batuhan Bardak, Mehmet Tan
A Convolutional Deep Clustering Framework for Gene Expression Time Series. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Batuhan Bardak, Mehmet Tan
Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions. CoRR (2021)
Riza Isik, Mehmet Tan
Automated Molecule Generation using Deep Q-Learning and Graph Neural Networks. BIBM (2021)
Batuhan Bardak, Mehmet Tan
Prediction of Mortality and Length of Stay with Deep Learning. SIU (2021)
Batuhan Bardak, Mehmet Tan
Improving clinical outcome predictions using convolution over medical entities with multimodal learning. Artif. Intell. Medicine 117 (2021)
Benan Bardak, Mehmet Tan
DeepGREP: A deep convolutional neural network for predicting gene-regulating effects of small molecules. CIBCB (2021)
Isiksu Eksioglu, Mehmet Tan
Prediction of Drug Synergy by Ensemble Learning. CoRR (2020)
Batuhan Bardak, Mehmet Tan
Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning. CoRR (2020)
Riza Isik, Isiksu Eksioglu, Bahattin Can Maral, Benan Bardak, Mehmet Tan
Chemical Induced Differential Gene Expression Prediction on LINCS Database. BIBE (2020)
Ozan Firat Özgül, Mehmet Ulas Çakir, Mehmet Tan, Mehmet Fatih Amasyali, Harun Taha Hayvaci
A Fully Unsupervised Framework for Scoring Driving Style. IEEE Conf. on Intelligent Systems (2018)
Mehmet Tan, Ozan Firat Özgül, Batuhan Bardak, Isiksu Eksioglu, Suna Sabuncuoglu
Drug response prediction by ensemble learning and drug-induced gene expression signatures. CoRR (2018)
Ozan Firat Özgül, Batuhan Bardak, Mehmet Tan
Predicting drug activity by image encoded gene expression profiles. SIU (2018)
Mehmet Tan
Edge distance graph kernel and its application to small molecule classification. Turkish J. Electr. Eng. Comput. Sci. 25 (2017)
Batuhan Bardak, Mehmet Tan
Disease outbreak prediction by data integration and multi-task learning. CIBCB (2017)
Mehmet Tan
Prediction of anti-cancer drug response by kernelized multi-task learning. Artif. Intell. Medicine 73 (2016)
Utku Sirin, Utku Erdogdu, Faruk Polat, Mehmet Tan, Reda Alhajj
Effective gene expression data generation framework based on multi-model approach. Artif. Intell. Medicine 70 (2016)
Ertan Tolan, Mehmet Tan
Anti-cancer Drug Activity Prediction by Ensemble Learning. KDIR (2016)
Batuhan Bardak, Mehmet Tan
Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data. BIBE (2015)
Yunus Gökçer, M. Fatih Demirci, Mehmet Tan
A Graph-based Pattern Recognition for Chemical Molecule Matching. BIOINFORMATICS (2015)
Mehmet Tan
Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles. BIBM (2014)
Doruk Pancaroglu, Mehmet Tan
Improving Positive Unlabeled Learning Algorithms for Protein Interaction Prediction. PACBB (2014)
Utku Erdogdu, Mehmet Tan, Reda Alhajj, Faruk Polat, Jon G. Rokne, Douglas J. Demetrick
Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data. Int. J. Data Min. Bioinform. 8 (3) (2013)
Mehmet Tan, Faruk Polat, Reda Alhajj
Subtree selection in kernels for graph classification. Int. J. Data Min. Bioinform. 8 (3) (2013)
Mohammed Al-Shalalfa, Mehmet Tan, Ghada Naji, Reda Alhajj, Faruk Polat, Jon G. Rokne
Revealing miRNA Regulation and miRNA Target Prediction Using Constraint-Based Learning. IEEE Trans. Syst. Man Cybern. Part C 42 (6) (2012)
Cumhur Kiliç, Mehmet Tan
Positive unlabeled learning for deriving protein interaction networks. Netw. Model. Anal. Health Informatics Bioinform. 1 (3) (2012)
Utku Sirin, Utku Erdogdu, Mehmet Tan, Faruk Polat, Reda Alhajj
Effective Enrichment of Gene Expression Data Sets. ICMLA (1) (2012)
Utku Erdogdu, Mehmet Tan, Reda Alhajj, Faruk Polat, Douglas J. Demetrick, Jon G. Rokne
Employing Machine Learning Techniques for Data Enrichment: Increasing the Number of Samples for Effective Gene Expression Data Analysis. BIBM (2011)
Mehmet Tan, Mohammed Al-Shalalfa, Reda Alhajj, Faruk Polat
Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (1) (2011)
Mehmet Tan, Reda Alhajj, Faruk Polat
Automated Large-Scale Control of Gene Regulatory Networks. IEEE Trans. Syst. Man Cybern. Part B 40 (2) (2010)
Mehmet Tan, Reda Alhajj, Faruk Polat
Scalable approach for effective control of gene regulatory networks. Artif. Intell. Medicine 48 (1) (2010)
Mehmet Tan, Faruk Polat, Reda Alhajj
Feature selection for graph kernels. BIBM (2010)
Mehmet Tan, Faruk Polat, Reda Alhajj
Derivation of Transcriptional Regulatory Relationships by Partial Least Squares Regression. BIBM (2009)
Mehmet Tan, Reda Alhajj, Faruk Polat
Large-scale approximate intervention strategies for Probabilistic Boolean Networks as models of gene regulation. BIBE (2008)
Mehmet Tan, Mohammed Al-Shalalfa, Reda Alhajj, Faruk Polat
Combining multiple types of biological data in constraint-based learning of gene regulatory networks. CIBCB (2008)
Mehmet Tan, Faruk Polat, Reda Alhajj
Feature Reduction for Gene Regulatory Network Control. BIBE (2007)