Mehmet Tan

According to our database, Mehmet Tan authored at least 36 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Transfer Learning for Predicting Gene Regulatory Effects of Chemicals.

Bahattin Can Maral, Mehmet Tan

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021

A Convolutional Deep Clustering Framework for Gene Expression Time Series.

Ozan Firat Özgül, Batuhan Bardak, Mehmet Tan

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Improving clinical outcome predictions using convolution over medical entities with multimodal learning.

Batuhan Bardak, Mehmet Tan

Artif. Intell. Medicine, 2021

Prediction of Mortality and Length of Stay with Deep Learning.

Batuhan Bardak, Mehmet Tan

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

DeepGREP: A deep convolutional neural network for predicting gene-regulating effects of small molecules.

Benan Bardak, Mehmet Tan

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions.

Batuhan Bardak, Mehmet Tan

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

Automated Molecule Generation using Deep Q-Learning and Graph Neural Networks.

Riza Isik, Mehmet Tan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Prediction of Drug Synergy by Ensemble Learning.

Isiksu Eksioglu, Mehmet Tan

CoRR, 2020

Chemical Induced Differential Gene Expression Prediction on LINCS Database.

Riza Isik, Isiksu Eksioglu, Bahattin Can Maral, Benan Bardak, Mehmet Tan

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2018

Drug response prediction by ensemble learning and drug-induced gene expression signatures.

Mehmet Tan, Ozan Firat Özgül, Batuhan Bardak, Isiksu Eksioglu, Suna Sabuncuoglu

CoRR, 2018

Predicting drug activity by image encoded gene expression profiles.

Ozan Firat Özgül, Batuhan Bardak, Mehmet Tan

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

A Fully Unsupervised Framework for Scoring Driving Style.

Ozan Firat Özgül, Mehmet Ulas Çakir, Mehmet Tan, Mehmet Fatih Amasyali, Harun Taha Hayvaci

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

2017

Edge distance graph kernel and its application to small molecule classification.

Mehmet Tan

Turkish J. Electr. Eng. Comput. Sci., 2017

Disease outbreak prediction by data integration and multi-task learning.

Batuhan Bardak, Mehmet Tan

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016

Prediction of anti-cancer drug response by kernelized multi-task learning.

Mehmet Tan

Artif. Intell. Medicine, 2016

Effective gene expression data generation framework based on multi-model approach.

Utku Sirin, Utku Erdogdu, Faruk Polat, Mehmet Tan, Reda Alhajj

Artif. Intell. Medicine, 2016

Anti-cancer Drug Activity Prediction by Ensemble Learning.

Ertan Tolan, Mehmet Tan

Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

2015

A Graph-based Pattern Recognition for Chemical Molecule Matching.

Yunus Gökçer, M. Fatih Demirci, Mehmet Tan

Proceedings of the BIOINFORMATICS 2015, 2015

Prediction of influenza outbreaks by integrating Wikipedia article access logs and Google flu trend data.

Batuhan Bardak, Mehmet Tan

Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

2014

Improving Positive Unlabeled Learning Algorithms for Protein Interaction Prediction.

Doruk Pancaroglu, Mehmet Tan

Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014

Drug sensitivity prediction for cancer cell lines based on pairwise kernels and miRNA profiles.

Mehmet Tan

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Subtree selection in kernels for graph classification.

Mehmet Tan, Faruk Polat, Reda Alhajj

Int. J. Data Min. Bioinform., 2013

Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data.

Utku Erdogdu, Mehmet Tan, Reda Alhajj, Faruk Polat, Jon G. Rokne, Douglas J. Demetrick

Int. J. Data Min. Bioinform., 2013

2012

Revealing miRNA Regulation and miRNA Target Prediction Using Constraint-Based Learning.

Mohammed Al-Shalalfa, Mehmet Tan, Ghada Naji, Reda Alhajj, Faruk Polat, Jon G. Rokne

IEEE Trans. Syst. Man Cybern. Part C, 2012

Positive unlabeled learning for deriving protein interaction networks.

Cumhur Kiliç, Mehmet Tan

Netw. Model. Anal. Health Informatics Bioinform., 2012

Effective Enrichment of Gene Expression Data Sets.

Utku Sirin, Utku Erdogdu, Mehmet Tan, Faruk Polat, Reda Alhajj

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011

Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks.

Mehmet Tan, Mohammed Al-Shalalfa, Reda Alhajj, Faruk Polat

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Employing Machine Learning Techniques for Data Enrichment: Increasing the Number of Samples for Effective Gene Expression Data Analysis.

Utku Erdogdu, Mehmet Tan, Reda Alhajj, Faruk Polat, Douglas J. Demetrick, Jon G. Rokne

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

Automated Large-Scale Control of Gene Regulatory Networks.

Mehmet Tan, Reda Alhajj, Faruk Polat

IEEE Trans. Syst. Man Cybern. Part B, 2010

Scalable approach for effective control of gene regulatory networks.

Mehmet Tan, Reda Alhajj, Faruk Polat

Artif. Intell. Medicine, 2010

Feature selection for graph kernels.

Mehmet Tan, Faruk Polat, Reda Alhajj

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Induction and control of large-scale gene regulatory networks ; Büyük-ölçekli gen düzenleyici ağların modellenmesi ve kontrolü.

Mehmet Tan

PhD thesis, 2009

Derivation of Transcriptional Regulatory Relationships by Partial Least Squares Regression.

Mehmet Tan, Faruk Polat, Reda Alhajj

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

Combining multiple types of biological data in constraint-based learning of gene regulatory networks.

Mehmet Tan, Mohammed Al-Shalalfa, Reda Alhajj, Faruk Polat

Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

Large-scale approximate intervention strategies for Probabilistic Boolean Networks as models of gene regulation.

Mehmet Tan, Reda Alhajj, Faruk Polat

Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007

Feature Reduction for Gene Regulatory Network Control.

Mehmet Tan, Faruk Polat, Reda Alhajj

Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007