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Dogan, TUNCA
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1

Democratizing knowledge representation with BioCypher:

Lobentanzer, Sebastian ; Aloy, Patrick ; Baumbach, Jan...
info:eu-repo/grantAgreement//965193/EU/Improved clinical decisions via integrating multiple data levels to overcome chemotherapy resistance in high-grade serous ovarian cancer/DECIDER.  , 2023
Link: https://hal.science/hal-..
 
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2

Democratizing knowledge representation with BioCypher:

Lobentanzer, Sebastian ; Aloy, Patrick ; Baumbach, Jan...
info:eu-repo/grantAgreement//965193/EU/Improved clinical decisions via integrating multiple data levels to overcome chemotherapy resistance in high-grade serous ovarian cancer/DECIDER.  , 2023
Link: https://hal.science/hal-..
 
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3

Democratizing knowledge representation with BioCypher:

Lobentanzer, Sebastian ; Aloy, Patrick ; Baumbach, Jan...
info:eu-repo/grantAgreement//965193/EU/Improved clinical decisions via integrating multiple data levels to overcome chemotherapy resistance in high-grade serous ovarian cancer/DECIDER.  , 2023
Link: https://hal.science/hal-..
 
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4

Transfer learning for drug–target interaction prediction:

Dalkıran, Alperen ; Atakan, Ahmet ; Rifaioğlu, Ahmet Süreyya...
10.1093/bioinformatics/btad234.  , 2023
Link: https://hdl.handle.net/2..
 
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5

Transfer learning for drug-target interaction prediction:

Rifaioğlu, Ahmet S ; DALKIRAN, ALPEREN ; ATAKAN, AHMET...
44634547-055d-47f6-acc3-9a0b79e15cd7.  , 2023
Link: https://doi.org/10.1093/..
 
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6

SELFormer: Molecular Representation Learning via SELFIES La..:

Yüksel, Atakan ; Ulusoy, Erva ; Ünlü, Atabey.
http://arxiv.org/abs/2304.04662.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

SELFormer: molecular representation learning via SELFIES la..:

Ulusoy, Erva ; Yüksel, Atakan ; Ünlü, Atabey.
d19970de-ff16-4e80-9568-c148dde88ccd.  , 2023
Link: https://doi.org/10.1088/..
 
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8

How to approach machine learning-based prediction of drug/c..:

DOĞAN, TUNCA ; Atas Guvenilir, Heval
716fe418-4e53-466a-9d61-2e7bd8b4a6ef.  , 2023
Link: https://doi.org/10.1186/..
 
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9

ASCARIS: Positional feature annotation and protein structur..:

Cankara, Fatma ; Doğan, Tunca
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562615/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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10

How to approach machine learning-based prediction of drug/c..:

DOĞAN, TUNCA ; Atas Guvenilir, Heval
716fe418-4e53-466a-9d61-2e7bd8b4a6ef.  , 2023
Link: https://doi.org/10.1186/..
 
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11

Target Specific De Novo Design of Drug Candidate Molecules ..:

Ünlü, Atabey ; Çevrim, Elif ; Sarıgün, Ahmet...
http://arxiv.org/abs/2302.07868.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

How to approach machine learning-based prediction of drug/c..:

Atas Guvenilir, Heval ; Doğan, Tunca
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901167/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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13

Learning functional properties of proteins with language mo..:

Unsal, Serbulent ; Atas, Heval ; Albayrak, Muammer...
https://aperta.ulakbim.gov.tr/record/253207.  , 2022
Link: https://aperta.ulakbim.g..
 
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14

Machine learning-based prediction of drug approvals using m..:

Ciray, Fulya ; Dogan, Tunca
https://aperta.ulakbim.gov.tr/record/258603.  , 2022
Link: https://aperta.ulakbim.g..
 
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15

Machine learning-based prediction of drug approvals using m..:

Ciray, Fulya ; DOĞAN, TUNCA
0e2bf38c-e03b-4ab7-9803-f6faf255ee2c.  , 2022
Link: https://doi.org/10.1080/..
 
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