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Personal profile

Research interests

Dr. Vonn Walter's primary research field is cancer genomics, particularly gene expression profiling, DNA copy number analysis and integrated analysis of multiple genomic data types. He is interested in all aspects of RNA sequencing data analysis, including pre-processing, normalization, differential expression analysis, unsupervised clustering, development of gene expression classifiers, pathway analysis, and network analysis. His PhD thesis led to the development of the DiNAMIC algorithm for assessing the statistical significance of recurrent genomic aberrations, such as regions of the genome where DNA copy number gains or losses are observed across multiple subjects. He also created the mVisAGe R package for computing and visualizing bivariate correlations that can be used to perform exploratory analyses for identifying regions of the genome where underling genomic aberrations affect the expression of regional genes.

Dr. Walter enjoys team science, and plays a variety of roles in ongoing collaborations with researchers at Penn State College of Medicine and elsewhere. He is a member of the Biostatistics/Bioinformatics Shared Resource of Penn State Cancer Institute.

Education/Academic qualification

Postdoctoral Fellow, Lineberger Comprehensive Cancer Center

Aug 2010Apr 2013

Biostatistics, PhD, University of North Carolina Chapel Hill

Aug 2005Jul 2010

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Neoplasms Medicine & Life Sciences
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Genes Chemical Compounds
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RNA Sequence Analysis Medicine & Life Sciences

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Research Output 2011 2019

  • 5005 Citations
  • 16 h-Index
  • 36 Article
  • 3 Comment/debate
  • 1 Chapter

Gene Expression Subtype Predicts Nodal Metastasis and Survival in Human Papillomavirus–Negative Head and Neck Cancer

Zevallos, J. P., Mazul, A. L., Walter, V. & Hayes, D. N., Jan 1 2019, In : Laryngoscope. 129, 1, p. 154-161 8 p.

Research output: Contribution to journalArticle

Head and Neck Neoplasms
Squamous Cell Carcinoma
Neoplasm Metastasis
Gene Expression
Survival
1 Citations (Scopus)
Urinary Bladder Neoplasms
Neoplasms
Histology
Selection Bias
Carcinoma
Papillary Carcinoma
Recurrence
Neoplasms
Proportional Hazards Models
Neoplasm Grading

Molecular characterization of tumors meeting diagnostic criteria for the non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP)

Pool, C., Walter, V., Bann, D., Goldenberg, D., Broach, J., Hennessy, M., Cottrill, E., Washburn, E., Williams, N., Crist, H., Imamura, Y. & Warrick, J., Jan 1 2019, (Accepted/In press) In : Virchows Archiv.

Research output: Contribution to journalArticle

Thyroid Neoplasms
Factor IX
Neoplasms
Adenoma
RNA Sequence Analysis
1 Citations (Scopus)
Manuscripts
Neoplasms
Chromosomes
Uveal melanoma