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Biodata Mining|July 18, 2021
eQTpLot: a user-friendly R package for the visualization of colocalization between eQTL and GWAS signalsTheodore G Drivas, Anastasia Lucas, Marylyn D Ritchie
Plos Computational Biology|September 11, 2025
kMermaid: Ultrafast metagenomic read assignment to protein clusters by hashing of amino acid k-mer frequenciesAnastasia Lucas, Daniel E Schäffer, Jayamanna Wickramasinghe, et al.
American Journal of Human Genetics|February 26, 2021
Mendelian pathway analysis of laboratory traits reveals distinct roles for ciliary subcompartments in common disease pathogenesisTheodore George Drivas, Anastasia Lucas, Xinyuan Zhang, et al.
Journal of the American Medical Informatics Association : JAMIA|January 2, 2017
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinomaDokyoon Kim, Ruowang Li, Anastasia Lucas, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 23, 2023
DETECT: Feature extraction method for disease trajectory modeling in electronic health recordsPankhuri Singhal, Lindsay Guare, Colleen Morse, et al.
Journal of Translational Medicine|June 26, 2023
Development of complemented comprehensive networks for rapid screening of repurposable drugs applicable to new emerging disease outbreaksYonghyun Nam, Anastasia Lucas, Jae-Seung Yun, et al.
Biodata Mining|May 2, 2018
Collective feature selection to identify crucial epistatic variantsShefali S Verma, Anastasia Lucas, Xinyuan Zhang, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 19, 2016
BIOFILTER AS A FUNCTIONAL ANNOTATION PIPELINE FOR COMMON AND RARE COPY NUMBER BURDENDokyoon Kim, Anastasia Lucas, Joseph Glessner, et al.
Biorxiv : the Preprint Server for Biology|June 4, 2026
A phylogeny-guided framework for decoding mechanisms of human endogenous retrovirus regulation in health and diseaseAndrew Patterson, Bryant Duong, Leena Yoon, et al.
American Journal of Human Genetics|April 3, 2018
PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from GeisingerAnurag Verma, Anastasia Lucas, Shefali S Verma, et al.
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