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Paper
Automated Extraction and Classification of Cancer Stage Mentions from Unstructured Text Fields in a Central Cancer Registry
- Abdulrahman AAlAbdulsalam ;
- Jennifer H. Garvin ;
- Andrew Redd ;
- Marjorie Carter ;
- Carol Sweeny ;
- Stephane Meystre
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Incorporating Protein Dynamics Through Ensemble Docking in Machine Learning Models to Predict Drug Binding
- Fatemah Alghamedy ;
- Jeevith Bopaiah ;
- Derek Jones ;
- Xiaofei Zhang ;
- Heidi Weiss ;
- Sally R. Ellingson
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REDESIGN: RDF-based Differential Signaling Framework for Precision Medicine Analytics
- Zainab Al-Taie ;
- Nattapon Thanintorn ;
- Ilker Ersoy ;
- Olha Kholod ;
- Kristen Taylor ;
- Richard Hammer ;
- Dmitriy Shin
REDESIGN: RDF-based Differential Signaling Framework for Precision Medicine Analytics
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Real-time Protection of Genomic Data Sharing in Beacon Services
- Diyue Bu ;
- Xiaofeng Wang ;
- Haixu Tang
Real-time Protection of Genomic Data Sharing in Beacon Services
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Evaluating Generalizability of a Biospecimen Informatics Approach: Support for Local Requirements and Best Practices
- Cindy Chen ;
- Evan Sholle ;
- David A. Kraemer ;
- Thomas R. Campion
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Somatic T-cell Receptor Diversity in a Chronic Kidney Disease Patient Population Linked to Electronic Health Records
- Dana C. Crawford ;
- Jessica N. Cooke Bailey ;
- Kristy Miskimen ;
- Penelope Miron ;
- Jacob McCauley ;
- John Sedor ;
- John F. O'Toole ;
- William Bush
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Biopsy Records Do Not Reduce Diagnosis Variability in Cancer Patient EHRs: Are We More Uncertain After Knowing?
- Jose-Franck Diaz-Garelli ;
- Brian Wells ;
- Caleb Yelton ;
- Roy Strowd ;
- Umit Topaloglu
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Utility of Genetic Testing in Addition to Mammography for Determining Risk of Breast Cancer Depends on Patient Age
- Shara Feld ;
- Jun Fan ;
- Ming Yuan ;
- Yirong Wu ;
- Kaitlin Woo ;
- Roxana Alexandridis ;
- Elizabeth S. Burnside
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Characterizing drug-related adverse events by joint analysis of biomedical and genomic data: A case study of drug-induced pulmonary fibrosis
- Alex Jiang ;
- Anil Jegga
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Polypharmacology Within the Full Kinome: a Machine Learning Approach
- Derek Jones ;
- Jeevith Bopaiah ;
- Fatemah Alghamedy ;
- Nathan Jacobs ;
- Heidi Weiss ;
- W.A. de Jong ;
- Sally R. Ellingson
Polypharmacology Within the Full Kinome: a Machine Learning Approach
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A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease
- Khader Shameer ;
- Garrett Dow ;
- Benjamin S. Glicksberg ;
- Kipp Johnson ;
- Yi Ze ;
- Max Tomlinson ;
- Ben Readhead ;
- Joel Dudley ;
- Iftikhar J. Kullo
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GNOMICS: A one-stop shop for biomedical and genomic data
- Charles Kronk ;
- Anil Jegga
GNOMICS: A one-stop shop for biomedical and genomic data
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Genetic variation affecting exon skipping contributes to brain structural atrophy in Alzheimer’s disease
- Younghee Lee ;
- Seonggyun Han ;
- Dongwook Kim ;
- Dokyoon Kim ;
- Emrin Horgousluoglu ;
- Shannon L. Risacher ;
- Andrew J. Saykin ;
- Kwangsik T. Nho
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Exploring Landscape of Drug-Target-Pathway-Side Effect Associations.
- Hansaim Lim ;
- Aleksandar Poleksic ;
- Lei Xie
Exploring Landscape of Drug-Target-Pathway-Side Effect Associations.
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Pharmacogenomic Approaches for Automated Medication Risk Assessment in People with Polypharmacy
- Jiazhen Liu ;
- Carol Friedman ;
- Joseph Finkelstein
Pharmacogenomic Approaches for Automated Medication Risk Assessment in People with Polypharmacy
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Standardizing and Democratizing Access to Cancer Molecular Diagnostic Test Data from Patients to Drive Translational Research
- Subha Madhavan ;
- Deborah Ritter ;
- Christine Micheel ;
- Shruti Rao ;
- Angshumoy Roy ;
- Dmitriy Sonkin ;
- Matthew D. McCoy ;
- Malachi Griffith ;
- Obi Griffith ;
- Peter McGarvey ;
- Shashikant Kulkarni
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A Computational Approach for Prioritizing Selection of Therapies Targeting Drug Resistant Variation in Anaplastic Lymphoma Kinase
- Matthew D. McCoy ;
- Subha Madhavan
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CATCH-KB: Establishing a Pharmacogenomics Variant Repository for Chemotherapy-Induced Cardiotoxicity
- Margaret Morash ;
- Hannah Mitchell ;
- Anthony Yu ;
- Thomas R. Campion ;
- Himisha Beltran ;
- Olivier Elemento ;
- Jyotishman Pathak
CATCH-KB: Establishing a Pharmacogenomics Variant Repository for Chemotherapy-Induced Cardiotoxicity
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A Low Rank Model for Phenotype Imputation in Autism Spectrum Disorder
- Kelley Paskov ;
- Dennis Wall
A Low Rank Model for Phenotype Imputation in Autism Spectrum Disorder
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NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
- Yifan Peng ;
- Xiaosong Wang ;
- Le Lu ;
- Mohammad H. Bagheri ;
- Ronald Summers ;
- Zhiyong Lu
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
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Deep Learning data integration for better risk stratification models of bladder cancer
- Olivier B. Poirion ;
- Kumardeep Chaudhary ;
- Lana X. Garmire
Deep Learning data integration for better risk stratification models of bladder cancer
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Comparing Existing Resources to Represent Dietary Supplements
- Rubina F. Rizvi ;
- Terrence J. Adam ;
- Elizabeth A. Lindemann ;
- Jake Vasilakes ;
- Serguei V. Pakhomov ;
- Jeffrey Bishop ;
- Genevieve B. Melton ;
- Rui Zhang
Comparing Existing Resources to Represent Dietary Supplements
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Predicting Low Information Laboratory Diagnostic Tests
- Shivaal K. Roy ;
- Jason Hom ;
- Lester Mackey ;
- Neil Shah ;
- Jonathan H. Chen
Predicting Low Information Laboratory Diagnostic Tests
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Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images
- Si Wen ;
- Tahsin Kurc ;
- Le Hou ;
- Joel Saltz ;
- Rajarsi Gupta ;
- Rebecca Batiste ;
- Tianhao Zhao ;
- Vu Nguyen ;
- Dimitris Samaras ;
- Wei Zhu
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Learning Opportunities for Drug Repositioning via GWAS and PheWAS Findings
- Wen Yin ;
- Cheng Gao ;
- Yaomin Xu ;
- Bingshan Li ;
- Douglas M. Ruderfer ;
- You Chen
Learning Opportunities for Drug Repositioning via GWAS and PheWAS Findings
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Exploring the potential of direct-to-consumer genetic test data for predicting adverse drug events
- Patrick Zhang ;
- Indra N. Sarkar
Exploring the potential of direct-to-consumer genetic test data for predicting adverse drug events
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