Predicting drug–target interactions using probabilistic matrix factorization MC Cobanoglu, C Liu, F Hu, ZN Oltvai, I Bahar Journal of chemical information and modeling 53 (12), 3399-3409, 2013 | 193 | 2013 |
Insights into the modulation of dopamine transporter function by amphetamine, orphenadrine, and cocaine binding MH Cheng, E Block, F Hu, MC Cobanoglu, A Sorkin, I Bahar Frontiers in neurology 6, 134, 2015 | 88 | 2015 |
A genome-wide RNAi screen identifies potential drug targets in a C. elegans model of α1-antitrypsin deficiency LP O'Reilly, OS Long, MC Cobanoglu, JA Benson, CJ Luke, MT Miedel, ... Human molecular genetics 23 (19), 5123-5132, 2014 | 46 | 2014 |
Classification of GPCRs using family specific motifs MC Cobanoglu, Y Saygin, U Sezerman IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (6 …, 2010 | 35 | 2010 |
BalestraWeb: efficient online evaluation of drug–target interactions MC Cobanoglu, ZN Oltvai, DL Taylor, I Bahar Bioinformatics 31 (1), 131-133, 2015 | 34 | 2015 |
An image-based assay to quantify changes in proliferation and viability upon drug treatment in 3D microenvironments VS Murali, BJ Chang, R Fiolka, G Danuser, MC Cobanoglu, ES Welf BMC cancer 19, 1-17, 2019 | 27 | 2019 |
An analog of glibenclamide selectively enhances autophagic degradation of misfolded α1-antitrypsin Z Y Wang, MC Cobanoglu, J Li, T Hidvegi, P Hale, M Ewing, AS Chu, ... PLoS One 14 (1), e0209748, 2019 | 25 | 2019 |
The present and future role of artificial intelligence and machine learning in anesthesiology JC Alexander, BT Romito, MC Çobanoğlu International anesthesiology clinics 58 (4), 7-16, 2020 | 23 | 2020 |
Preoperative prediction of lymph node metastasis from clinical DCE MRI of the primary breast tumor using a 4D CNN S Nguyen, D Polat, P Karbasi, D Moser, L Wang, K Hulsey, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 22 | 2020 |
Connecting neuronal cell protective pathways and drug combinations in a Huntington’s disease model through the application of quantitative systems pharmacology F Pei, H Li, MJ Henderson, SA Titus, A Jadhav, A Simeonov, ... Scientific Reports 7 (1), 17803, 2017 | 20 | 2017 |
Deep learning development environment in virtual reality KC VanHorn, M Zinn, MC Cobanoglu arXiv preprint arXiv:1906.05925, 2019 | 13 | 2019 |
Glyphlink: An interactive visualization approach for semantic graphs M Cayli, MC Cobanoglu, S Balcisoy Journal of Visual Languages & Computing 24 (6), 463-471, 2013 | 10 | 2013 |
Democratizing AI in biomedical image classification using virtual reality K VanHorn, MC Çobanoğlu Virtual Reality 26 (1), 159-171, 2022 | 9 | 2022 |
Ionizing irradiation protection and mitigation of murine cells by carbamazepine is p53 and autophagy independent H Kim, ME Bernard, A Farkas, J Goff, R Kalash, F Houghton, D Shields, ... in vivo 26 (3), 341-354, 2012 | 8 | 2012 |
Accurate differential analysis of transcription factor activity from gene expression V Amin, D Ağaç, SD Barnes, MC Çobanoğlu Bioinformatics 35 (23), 5018-5029, 2019 | 5 | 2019 |
Adrenergic signaling controls early transcriptional programs during CD8+ T cell responses to viral infection LD Estrada, D Ağaç Çobanoğlu, A Wise, RW Maples, MC Çobanoğlu, ... PloS one 17 (8), e0272017, 2022 | 4 | 2022 |
Evaluating Melanoma Viability and Proliferation in 3D Microenvironments V Siruvallur Murali, MC Cobanoglu, ES Welf Melanoma: Methods and Protocols, 155-171, 2021 | 4 | 2021 |
Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural Network DS Polat, S Nguyen, P Karbasi, K Hulsey, MC Cobanoglu, L Wang, ... Radiology: Imaging Cancer 6 (3), e230107, 2024 | 2 | 2024 |
Haisu: Hierarchically supervised nonlinear dimensionality reduction KC VanHorn, MC Çobanoğlu PLoS Computational Biology 18 (7), e1010351, 2022 | 2 | 2022 |
Cancer drug discovery as a low rank tensor completion problem VS Murali, D Ağaç Çobanoğlu, M Hsieh, M Zinn, VS Malladi, J Gesell, ... bioRxiv, 2021.03. 08.434311, 2021 | 2 | 2021 |