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Dongwon Lee

Researcher at Pennsylvania State University

Publications -  622
Citations -  19070

Dongwon Lee is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Web service & PLGA. The author has an hindex of 61, co-authored 590 publications receiving 15539 citations. Previous affiliations of Dongwon Lee include Johns Hopkins University School of Medicine & Chonbuk National University.

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A comparative encyclopedia of DNA elements in the mouse genome

Feng Yue, +145 more
- 20 Nov 2014 - 
TL;DR: The mouse ENCODE Consortium has mapped transcription, DNase I hypersensitivity, transcription factor binding, chromatin modifications and replication domains throughout the mouse genome in diverse cell and tissue types as mentioned in this paper.
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FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

TL;DR: A fake news data repository FakeNewsNet is presented, which contains two comprehensive data sets with diverse features in news content, social context, and spatiotemporal information, and is discussed for potential applications on fake news study on social media.
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Taxonomy of XML schema languages using formal language theory

TL;DR: This work presents a formal framework for XML schema languages based on regular tree grammars that helps to describe, compare, and implement such schema languages in a rigorous manner.
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In vivo imaging of hydrogen peroxide with chemiluminescent nanoparticles

TL;DR: It is demonstrated that nanoparticles formulated from peroxalate esters and fluorescent dyes can image hydrogen peroxide in vivo with high specificity and sensitivity and deep-tissue-imaging capability.
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Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features

TL;DR: The gkm-SVM predicts functional genomic regulatory elements and tissue specific enhancers with significantly improved accuracy, increasing the precision by up to a factor of two, and the general utility of this method is demonstrated using a Naïve-Bayes classifier.