Mehmet Tan - RankMe

38 papers C 8Misc 1Journal 16Unranked 12

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