Samuel Angiuoli

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2011 Computer Sciene University of Maryland, College Park, College Park, MD 
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Georgiadis A, Durham JN, Keefer LA, et al. (2019) Noninvasive Detection of Microsatellite Instability and High Tumor Mutation Burden in Cancer Patients Treated with PD-1 Blockade. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research
Chowbina S, Cerqueira G, Sweeney D, et al. (2019) Abstract 1665: Development of standardized assay and software systems to deliver concordant results across sequencing platforms Cancer Research. 79: 1665-1665
Gerding KMR, Valkenburg KC, Oliveras C, et al. (2019) Abstract B027: Analytical validation of a 500+ gene comprehensive NGS assay to detect genomic alterations across 35 tumor types Molecular Cancer Therapeutics. 18
Wood DE, White JR, Georgiadis A, et al. (2018) A machine learning approach for somatic mutation discovery. Science Translational Medicine. 10
Angiuoli SV, White JR, Jones S. (2018) Regarding the Congruence Between 2 Circulating Tumor DNA Sequencing Assays. Jama Oncology
Wood D, White J, Georgiadis A, et al. (2018) Abstract 3271: A machine learning approach for somatic mutation discovery Cancer Research. 78: 3271-3271
Nesselbush M, Jones S, Keefer L, et al. (2018) Abstract A027: Analytic validation of a pan-cancer tumor mutational burden assay Molecular Cancer Therapeutics. 17
Phallen J, Sausen M, Adleff V, et al. (2017) Direct detection of early-stage cancers using circulating tumor DNA. Science Translational Medicine. 9
Agrawal S, Arze C, Adkins RS, et al. (2017) CloVR-Comparative: automated, cloud-enabled comparative microbial genome sequence analysis pipeline. Bmc Genomics. 18: 332
Grossman RL, Abel B, Angiuoli S, et al. (2017) Collaborating to Compete: Blood Profiling Atlas in Cancer (BloodPAC) Consortium. Clinical Pharmacology and Therapeutics
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