Erich A. Peterson, Ph.D.

Affiliations: 
2012 Computer Science University of Arkansas at Little Rock, USA 
Area:
Computer Science
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"Erich Peterson"

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Peiyi Tang grad student 2012 University of Arkansas at Little Rock
 (New algorithms for frequent sequential pattern and itemset data mining in certain and uncertain databases.)
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Publications

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Ashby C, Rutherford M, Bauer MA, et al. (2020) TarPan: an easily adaptable targeted sequencing panel viewer for research and clinical use. Bmc Bioinformatics. 21: 144
Johann DJ, Laun S, Stephens O, et al. (2020) Utilizing single-cell-subtype analysis via advanced microdissection methods and the impact on precision medicine. Journal of Clinical Oncology. 38: e15571-e15571
Chavan SS, He J, Tytarenko R, et al. (2017) Bi-allelic inactivation is more prevalent at relapse in multiple myeloma, identifying RB1 as an independent prognostic marker. Blood Cancer Journal. 7: e535
Weinhold N, Ashby C, Rasche L, et al. (2016) Clonal selection and double hit events involving tumor suppressor genes underlie relapse from chemotherapy: myeloma as a model. Blood
Chavan SS, Heuck C, He J, et al. (2016) High Risk Myeloma Is Characterized By the Bi-Allelic Inactivation of CDKN2C and RB1 Blood. 128: 4416-4416
Peterson EA, Bauer MA, Chavan SS, et al. (2015) Enhancing cancer clonality analysis with integrative genomics. Bmc Bioinformatics. 16: S7
Heuck C, Weinhold N, Peterson EA, et al. (2015) The Impact of Combination Chemotherapy and Tandem Stem Cell Transplant on Clonal Substructure and Mutational Pattern at Relapse of MM Blood. 126: 372-372
Melchor L, Jones JR, Lenive O, et al. (2015) Spatiotemporal Analysis of Intraclonal Heterogeneity in Multiple Myeloma: Unravelling the Impact of Treatment and the Propagating Capacity of Subclones Using Whole Exome Sequencing Blood. 126: 371-371
Heuck C, Chavan SS, Stein CK, et al. (2015) Comprehensive Genomic Profiling of Multiple Myeloma in the Course of Clinical Care Identifies Targetable and Prognostically Significant Genomic Alterations Blood. 126: 369-369
Weinhold N, Chavan SS, Heuck C, et al. (2015) High Risk Multiple Myeloma Demonstrates Marked Spatial Genomic Heterogeneity Between Focal Lesions and Random Bone Marrow; Implications for Targeted Therapy and Treatment Resistance Blood. 126: 20-20
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