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Öznur Tastan
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2020 – today
- 2024
- [j20]Ali Osman Berk Sapci, Hasan Kemik, Reyyan Yeniterzi, Öznur Tastan:
Focusing on potential named entities during active label acquisition. Nat. Lang. Eng. 30(3): 602-624 (2024) - 2023
- [j19]Afshan Nabi, Berke Dilekoglu, Ogun Adebali, Öznur Tastan:
Discovering misannotated lncRNAs using deep learning training dynamics. Bioinform. 39(1) (2023) - [j18]Ali Osman Berk Sapci, Shan Lu, Shuchen Yan, Ferhat Ay, Öznur Tastan, Sündüz Keles:
MuDCoD: multi-subject community detection in personalized dynamic gene networks from single-cell RNA sequencing. Bioinform. 39(10) (2023) - [j17]Onur Can Uner, Halil Ibrahim Kuru, Ramazan Gokberk Cinbis, Öznur Tastan, A. Ercüment Çiçek:
DeepSide: A Deep Learning Approach for Drug Side Effect Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 330-339 (2023) - 2022
- [j16]Serhan Yilmaz, Mohamad Fakhouri, Mehmet Koyutürk, A. Ercüment Çiçek, Öznur Tastan:
Uncovering complementary sets of variants for predicting quantitative phenotypes. Bioinform. 38(4): 908-917 (2022) - [j15]Gulden Olgun, Öznur Tastan:
miRCoop: Identifying Cooperating miRNAs via Kernel Based Interaction Tests. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1760-1771 (2022) - [j14]Halil Ibrahim Kuru, Öznur Tastan, A. Ercüment Çiçek:
MatchMaker: A Deep Learning Framework for Drug Synergy Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2334-2344 (2022) - 2021
- [j13]Yasin Ilkagan Tepeli, Ali Burak Ünal, Furkan Mustafa Akdemir, Öznur Tastan:
PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering. Bioinform. 36(21): 5237-5246 (2021) - [j12]Gulden Olgun, Afshan Nabi, Öznur Tastan:
NoRCE: non-coding RNA sets cis enrichment tool. BMC Bioinform. 22(1): 294 (2021) - [j11]Gulden Olgun, Afshan Nabi, Öznur Tastan:
Correction to: NoRCE: non‑coding RNA sets cis enrichment tool. BMC Bioinform. 22(1): 393 (2021) - [j10]Gizem Caylak, Öznur Tastan, A. Ercüment Çiçek:
Potpourri: An Epistasis Test Prioritization Algorithm via Diverse SNP Selection. J. Comput. Biol. 28(4): 365-377 (2021) - [j9]Gizem Caylak, Öznur Tastan, A. Ercüment Çiçek:
A Tool for Detecting Complementary Single Nucleotide Polymorphism Pairs in Genome-Wide Association Studies for Epistasis Testing. J. Comput. Biol. 28(4): 378-380 (2021) - [j8]Halil Ibrahim Kuru, Mustafa Buyukozkan, Öznur Tastan:
PRER: A patient representation with pairwise relative expression of proteins on biological networks. PLoS Comput. Biol. 17(5) (2021) - [j7]Serhan Yilmaz, Öznur Tastan, A. Ercüment Çiçek:
SPADIS: An Algorithm for Selecting Predictive and Diverse SNPs in GWAS. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1208-1216 (2021) - [i6]Nour Almadhoun Alserr, Gulce Kale, Onur Mutlu, Öznur Tastan, Erman Ayday:
Near-Optimal Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding. CoRR abs/2106.05211 (2021) - [i5]Seyma Selcan Magara, Ceren Yildirim, Ferhat Yaman, Berke Dilekoglu, Furkan Reha Tutas, Erdinç Öztürk, Kamer Kaya, Öznur Tastan, Erkay Savas:
ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies. CoRR abs/2110.11446 (2021) - [i4]Ali Osman Berk Sapci, Öznur Tastan, Reyyan Yeniterzi:
Focusing on Possible Named Entities in Active Named Entity Label Acquisition. CoRR abs/2111.03837 (2021) - 2020
- [j6]Iman Deznabi, Busra Arabaci, Mehmet Koyutürk, Öznur Tastan:
DeepKinZero: zero-shot learning for predicting kinase-phosphosite associations involving understudied kinases. Bioinform. 36(12): 3652-3661 (2020) - [c7]Gulden Olgun, Öznur Tastan:
Functional Enrichment Analysis of Deregulated Long Non-Coding RNAs in Cancer Based on their Genomic Neighbors. BCB 2020: 9:1-9:10 - [c6]Ali Osman Berk Sapci, Öznur Tastan, Reyyan Yeniterzi:
Active Learning for Turkish Text Classification. SIU 2020: 1-4
2010 – 2019
- 2018
- [j5]Gulce Kale, Erman Ayday, Öznur Tastan:
A utility maximizing and privacy preserving approach for protecting kinship in genomic databases. Bioinform. 34(2): 181-189 (2018) - [j4]Iman Deznabi, Mohammad Mobayen, Nazanin Jafari, Öznur Tastan, Erman Ayday:
An Inference Attack on Genomic Data Using Kinship, Complex Correlations, and Phenotype Information. IEEE ACM Trans. Comput. Biol. Bioinform. 15(4): 1333-1343 (2018) - [i3]Cem Orhan, Öznur Tastan:
Active Learning Methods based on Statistical Leverage Scores. CoRR abs/1812.02497 (2018) - 2017
- [j3]Burçak Otlu, Can Firtina, Sündüz Keles, Öznur Tastan:
GLANET: genomic loci annotation and enrichment tool. Bioinform. 33(18): 2818-2828 (2017) - 2016
- [i2]Ali Burak Ünal, Öznur Tastan:
Identification of Cancer Patient Subgroups via Smoothed Shortest Path Graph Kernel. CoRR abs/1612.04431 (2016) - 2015
- [c5]Öznur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman:
Refining Literature Curated Protein Interactions Using Expert Opinions. Pacific Symposium on Biocomputing 2015: 318-329 - [i1]Cem Orhan, Öznur Tastan:
ALEVS: Active Learning by Statistical Leverage Sampling. CoRR abs/1507.04155 (2015) - 2011
- [j2]Zhongming Zhao, Junfeng Xia, Öznur Tastan, Irtisha Singh, Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman:
Virus interactions with human signal transduction pathways. Int. J. Comput. Biol. Drug Des. 4(1): 83-105 (2011) - 2010
- [j1]Yanjun Qi, Öznur Tastan, Jaime G. Carbonell, Judith Klein-Seetharaman, Jason Weston:
Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins. Bioinform. 26(18) (2010) - [c4]Irtisha Singh, Öznur Tastan, Judith Klein-Seetharaman:
Comparison of virus interactions with human signal transduction pathways. BCB 2010: 17-24 - [c3]Subhodeep Moitra, Naveena Yanamala, Öznur Tastan, Irtisha Singh, Christopher James Langmead, Judith Klein-Seetharaman:
Analogies between structural and systems biology and systems-of-systems engineering in dynamic environments. SoSE 2010: 1-7
2000 – 2009
- 2009
- [c2]Sivaraman Balakrishnan, Öznur Tastan, Jaime G. Carbonell, Judith Klein-Seetharaman:
Communication interception of human signal transduction pathways by Human Immunodeficiency Virus-1. GENSiPS 2009: 1-4 - [c1]Öznur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman:
Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration. Pacific Symposium on Biocomputing 2009: 516-527
Coauthor Index
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last updated on 2024-10-07 22:15 CEST by the dblp team
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