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Tunca Doğan

Showing results (11-20 of 30) with videos related to

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Scientific Reports|May 16, 2019
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural NetworksAhmet Sureyya Rifaioglu, Tunca Doğan, Maria Jesus Martin, et al.
Bioinformatics (Oxford, England)|May 15, 2020
iBioProVis: interactive visualization and analysis of compound bioactivity spaceAtaberk Donmez, Ahmet Sureyya Rifaioglu, Aybar Acar, et al.
Computers in Biology and Medicine|December 22, 2023
An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing dataMona Shojaei, Navid Mohammadvand, Tunca Doğan, et al.
Bioinformatics (Oxford, England)|October 23, 2020
iBioProVis: interactive visualization and analysis of compound bioactivity spaceAtaberk Donmez, Ahmet Sureyya Rifaioglu, Aybar Acar, et al.
BMC Bioinformatics|September 23, 2018
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclatureAlperen Dalkiran, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, et al.
Chemical Science|November 19, 2020
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representationsAhmet Sureyya Rifaioglu, Esra Nalbat, Volkan Atalay, et al.
Briefings in Bioinformatics|August 8, 2018
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databasesAhmet Sureyya Rifaioglu, Heval Atas, Maria Jesus Martin, et al.
Bioinformatics (Oxford, England)|May 7, 2016
UniProt-DAAC: domain architecture alignment and classification, a new method for automatic functional annotation in UniProtKBTunca Doğan, Alistair MacDougall, Rabie Saidi, et al.
Journal of Virology|August 11, 2025
Mpox: disease manifestations and therapeutic developmentYining Wang, Xin Wang, Tunca Doğan, et al.
BMC Bioinformatics|April 10, 2026
Molecular contrastive learning with graph attention network (MoCL-GAT) for enhanced molecular representationAlperen Dalkıran, Ahmet Sureyya Rifaioglu, Rengul Cetin-Atalay, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Scientific Reports|May 16, 2019
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural NetworksAhmet Sureyya Rifaioglu, Tunca Doğan, Maria Jesus Martin, et al.
Bioinformatics (Oxford, England)|May 15, 2020
iBioProVis: interactive visualization and analysis of compound bioactivity spaceAtaberk Donmez, Ahmet Sureyya Rifaioglu, Aybar Acar, et al.
Computers in Biology and Medicine|December 22, 2023
An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing dataMona Shojaei, Navid Mohammadvand, Tunca Doğan, et al.
Bioinformatics (Oxford, England)|October 23, 2020
iBioProVis: interactive visualization and analysis of compound bioactivity spaceAtaberk Donmez, Ahmet Sureyya Rifaioglu, Aybar Acar, et al.
BMC Bioinformatics|September 23, 2018
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclatureAlperen Dalkiran, Ahmet Sureyya Rifaioglu, Maria Jesus Martin, et al.
Chemical Science|November 19, 2020
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representationsAhmet Sureyya Rifaioglu, Esra Nalbat, Volkan Atalay, et al.
Briefings in Bioinformatics|August 8, 2018
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databasesAhmet Sureyya Rifaioglu, Heval Atas, Maria Jesus Martin, et al.
Bioinformatics (Oxford, England)|May 7, 2016
UniProt-DAAC: domain architecture alignment and classification, a new method for automatic functional annotation in UniProtKBTunca Doğan, Alistair MacDougall, Rabie Saidi, et al.
Journal of Virology|August 11, 2025
Mpox: disease manifestations and therapeutic developmentYining Wang, Xin Wang, Tunca Doğan, et al.
BMC Bioinformatics|April 10, 2026
Molecular contrastive learning with graph attention network (MoCL-GAT) for enhanced molecular representationAlperen Dalkıran, Ahmet Sureyya Rifaioglu, Rengul Cetin-Atalay, et al.
Pageof 3