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Natalia Khuri
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2020 – today
- 2023
- [c19]Konghao Zhao
, Sapan Bhandari
An Ensemble Machine Learning Approach for Benchmarking and Selection of scRNA-seq Integration Methods. BCB 2023: 3:1-3:10 - 2022
- [c18]Sapan Bhandari, Nathan P. Whitener, Konghao Zhao, Natalia Khuri:
Multi-target integration and annotation of single-cell RNA-sequencing data. BCB 2022: 29:1-29:4 - [c17]Natalia Khuri, Sapan Bhandari, Esteban Murillo Burford, Nathan P. Whitener, Konghao Zhao:
An evolutionary approach to data valuation. BCB 2022: 43:1-43:10 - [c16]Xiaochen Wang, Natalia Khuri:
Generative Adversarial Network for the Segmentation of Ground Glass Opacities and Consolidations from Lung CT Images. BIOINFORMATICS 2022: 27-37 - [c15]Sarah Parsons, Nathan P. Whitener, Sapan Bhandari, Natalia Khuri:
Interpretable Hierarchical Bayesian Modeling of Cell-Type Distributions in COVID-19 Disease. CISS 2022: 7-12 - 2021
- [c14]Natalia Khuri, Sarah Parsons:
A value-based approach for training of classifiers with high-throughput small molecule screening data. BCB 2021: 28:1-28:10 - [c13]Tian Yun, Deepti Garg, Natalia Khuri:
Mining Biomedical Texts for Pediatric Information. BIOINFORMATICS 2021: 60-71 - [c12]Natalia Khuri, Esteban Murillo Burford, Sarah Parsons, Chenqi Xu:
A Game-Theoretical Approach for Data Acquisition From Fitness Tracking Devices. ISNCC 2021: 1-6 - [c11]Natalia Khuri, Anish Prasanna:
Using game theory to guide the classification of inhibitors of human iodide transporters. SAC 2021: 916-923 - [c10]Tianen Liu, Natalia Khuri:
Classification of drug prescribing information using long short-term memory networks. SAC 2021: 1086-1089 - 2020
- [c9]Natalia Khuri:
Mining environmental chemicals with boosted trees. SAC 2020: 1082-1089 - [c8]Natalia Khuri, Wendy Lee, K. Virginia Lehmkuhl-Dakhwe, Miri VanHoven, Sami Khuri:
Interdisciplinary Minor in Bioinformatics: First Results and Outlook. SIGCSE 2020: 407-412
2010 – 2019
- 2019
- [c7]Shantanu Deshmukh, Philip Heller, Natalia Khuri:
A Long-Short Term Memory Network for Detecting CRISPR Arrays. ICMLA 2019: 619-624 - 2018
- [c6]Shantanu Deshmukh, Natalia Khuri:
PediatricDB: Data Analytics Platform for Pediatric Healthcare. ICDIM 2018: 216-221 - [c5]Vandana Kannan, Natalia Khuri:
Creating Digital Collages Inspired by English Texts. ICDIM 2018: 228-233 - [c4]Natalia Khuri, Shantanu Deshmukh:
Machine Learning for Classification of Inhibitors of Hepatic Drug Transporters. ICMLA 2018: 181-186 - 2017
- [j2]Natalia Khuri
Computational Discovery and Experimental Validation of Inhibitors of the Human Intestinal Transporter OATP2B1. J. Chem. Inf. Model. 57(6): 1402-1413 (2017) - [c3]Sami Khuri, Miri VanHoven, Natalia Khuri:
Increasing the Capacity of STEM Workforce: Minor in Bioinformatics. SIGCSE 2017: 315-320 - 2015
- [c2]Liang Wu, Teng-Sheng Moh, Natalia Khuri:
Twitter opinion mining for adverse drug reactions. IEEE BigData 2015: 1570-1574 - 2014
- [j1]Ursula Pieper
ModBase, a database of annotated comparative protein structure models and associated resources. Nucleic Acids Res. 42(Database-Issue): 336-346 (2014)
2000 – 2009
- 2005
- [c1]Natalia Khuri, Nikhila S. Rao:
Operon Prediction in Cyanobacteria using Comparative Genomics. CSB Workshops 2005: 23-24
Coauthor Index
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