Duygu Ucar - researchr alias

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Viewing Publication 1 - 15 from 15

2021

CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq dataAsa Thibodeau, Shubham Khetan, Alper Eroglu, Ryan Tewhey, Michael L. Stitzel, Duygu Ucar. ploscb, 17(12), 2021. [doi]

2020

V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq dataNathan Lawlor, Eladio J. Márquez, Donghyung Lee, Duygu Ucar. bioinformatics, 36(11):3582-3584, 2020. [doi]

2016

QuIN: A Web Server for Querying and Visualizing Chromatin Interaction NetworksAsa Thibodeau, Eladio J. Márquez, Oscar Luo, Yijun Ruan, Francesca Menghi, Dong-Guk Shin, Michael L. Stitzel, Paola Vera-Licona, Duygu Ucar. ploscb, 12(6), 2016. [doi]

2010

Discover regulatory DNA elements using chromatin signatures and artificial neural networkHiram A. Firpi, Duygu Ucar, Kai Tan. bioinformatics, 26(13):1579-1586, 2010. [doi]

A Survey of Graph Mining Techniques for Biological DatasetsS. Parthasarathy, S. Tatikonda, Duygu Ucar. In Charu C. Aggarwal, Haixun Wang, editors, Managing and Mining Graph Data. Volume 40 of Advances in Database Systems, pages 547-580, Springer, 2010. [doi]

Markov clustering of protein interaction networks with improved balance and scalabilityVenu Satuluri, Srinivasan Parthasarathy, Duygu Ucar. bcb 2010: 247-256 [doi]

2009

2007

2006

Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced SubgraphsDuygu Ucar, Sitaram Asur, Ümit V. Çatalyürek, Srinivasan Parthasarathy. pkdd 2006: 371-382 [doi]

2005

Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions NetworkDuygu Ucar, Srinivasan Parthasarathy, Sitaram Asur, Chao Wang. bibe 2005: 129-136 [doi]

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