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SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors., , , , , , , , , and 4 other author(s). Bioinform., 26 (6): 730-736 (2010)JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data., , , , , , , , , and 3 other author(s). Bioinform., 28 (7): 907-913 (2012)GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Visualization Prevalence Design Space., , , and . IEEE Trans. Vis. Comput. Graph., 28 (12): 4855-4872 (2022)Eliciting Model Steering Interactions from Users via Data and Visual Design Probes., , and . CoRR, (2023)Passing the Data Baton : A Retrospective Analysis on Data Science Work and Workers., , and . IEEE Trans. Vis. Comput. Graph., 27 (2): 1860-1870 (2021)Interactive Model Cards: A Human-Centered Approach to Model Documentation., , , and . FAccT, page 427-439. ACM, (2022)Adjutant: an R-based tool to support topic discovery for systematic and literature reviews., , and . Bioinform., 35 (6): 1070-1072 (2019)GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Prevalence Visualization Design Space., , , and . CoRR, (2020)On Regulatory and Organizational Constraints in Visualization Design and Evaluation., , and . BELIV, page 1-9. ACM, (2016)Uncovering Data Landscapes through Data Reconnaissance and Task Wrangling., and . IEEE VIS (Short Papers), page 46-50. IEEE, (2019)