Thomas A. Peterson

发表

Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature

Olivier Bodenreider, Maricel G. Kann, Emily Doughty, 2011, Bioinform..

Oncodomains: A protein domain-centric framework for analyzing rare variants in tumor samples

Junyong Park, Maricel G. Kann, Thomas A. Peterson, 2017, PLoS Comput. Biol..

DMDM: domain mapping of disease mutations

Yanan Sun, Maricel G. Kann, Asa Adadey, 2010, Bioinform..

Regulatory Single‐Nucleotide Variant Predictor Increases Predictive Performance of Functional Regulatory Variants

Thomas A. Peterson, P. Radivojac, S. Mooney, 2016, Human mutation.

Towards precision medicine: advances in computational approaches for the analysis of human variants.

Thomas A. Peterson, M. Kann, E. Doughty, 2013, Journal of molecular biology.

Domain landscapes of somatic mutations in cancer.

Thomas A. Peterson, M. Kann, DoHwan Park, 2013, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

A protein domain-centric approach for the comparative analysis of human and yeast phenotypically relevant mutations

Thomas A. Peterson, DoHwan Park, Thomas A Peterson, 2013, BMC Genomics.

Domain landscapes of somatic mutations in cancer

Thomas A. Peterson, DoHwan Park, Thomas A Peterson, 2012, BMC Genomics.

Empirical Null Estimation using Discrete Mixture Distributions and its Application to Protein Domain Data

Maricel Kann, Thomas A. Peterson, Johan Lim, 2016, 1608.07204.

Regulatory single nucleotide variant predictor (RSVP) increases predictive performance of functional regulatory variants by incorporating features from the ENCODE project

Thomas A. Peterson, Kann, P. Radivojac, 2018 .

Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer

Thomas A. Peterson, DoHwan Park, Thomas A Peterson, 2012, J. Am. Medical Informatics Assoc..

Domain landscapes of somatic mutations in cancer

Thomas A. Peterson, Nathan L. Nehrt, M. Kann, 2012, BMC Genomics.

Bayesian local false discovery rate for sparse count data with application to the discovery of hotspots in protein domains

Thomas A. Peterson, M. Kann, Junyong Park, 2022, The Annals of Applied Statistics.

Empirical null estimation using zero‐inflated discrete mixture distributions and its application to protein domain data

Maricel Kann, Thomas A. Peterson, Johan Lim, 2018, Biometrics.

Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer

Thomas A. Peterson, Nathan L. Nehrt, M. Kann, 2012, J. Am. Medical Informatics Assoc..

Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature

Thomas A. Peterson, M. Kann, O. Bodenreider, 2011, Bioinform..

DMDM: domain mapping of disease mutations

Thomas A. Peterson, M. Kann, Yanan Sun, 2010, Bioinform..