Bradley M. Broom

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 5

Top Topics

Bayesian Analysis

Signaling Pathways

Top Venues

Nucleic Acids Res.

Publications

Huma Shehwana, Shwetha V. Kumar, James M. Melott, Mary A. Rohrdanz, Chris Wakefield, Zhenlin Ju, Doris R. Siwak, Yiling Lu, Bradley M. Broom, John N. Weinstein, Gordon B. Mills, Rehan Akbani
RPPA SPACE: an R package for normalization and quantitation of Reverse-Phase Protein Array data. Bioinform. 38 (22) (2022)
Yusha Liu, Keith A. Baggerly, Elias Orouji, Ganiraju Manyam, Huiqin Chen, Michael Lam, Jennifer S. Davis, Michael S. Lee, Bradley M. Broom, David G. Menter, Kunal Rai, Scott Kopetz, Jeffrey S. Morris
Methylation-eQTL analysis in cancer research. Bioinform. 37 (22) (2021)
Michael C. Ryan, Mark Stucky, Chris Wakefield, James M. Melott, Rehan Akbani, John N. Weinstein, Bradley M. Broom
Interactive Clustered Heat Map Builder: An easy web-based tool for creating sophisticated clustered heat maps. F1000Research 8 (2019)
James M. Melott, John N. Weinstein, Bradley M. Broom
PathwaysWeb: a gene pathways API with directional interactions, expanded gene ontology, and versioning. Bioinform. 32 (2) (2016)
Michael C. Ryan, Wing Chung Wong, Robert Brown, Rehan Akbani, Xiaoping Su, Bradley M. Broom, James M. Melott, John N. Weinstein
TCGASpliceSeq a compendium of alternative mRNA splicing in cancer. Nucleic Acids Res. 44 (Database-Issue) (2016)
Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju Manyam, Kim-Anh Do
iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data. Bioinform. 29 (2) (2013)
Bradley M. Broom, Kim-Anh Do, Devika Subramanian
Model averaging strategies for structure learning in Bayesian networks with limited data. BMC Bioinform. 13 (S-13) (2012)
Vinícius Bonato, Veerabhadran Baladandayuthapani, Bradley M. Broom, Erik P. Sulman, Kenneth D. Aldape, Kim-Anh Do
Bayesian ensemble methods for survival prediction in gene expression data. Bioinform. 27 (3) (2011)
Bradley M. Broom, Erik P. Sulman, Kim-Anh Do, Mary E. Edgerton, Kenneth D. Aldape
Bagged gene shaving for the robust clustering of high-throughput data. Int. J. Bioinform. Res. Appl. 6 (4) (2010)
Mitchell Koch, Bradley M. Broom, Devika Subramanian
Learning robust cell signalling models from high throughput proteomic data. Int. J. Bioinform. Res. Appl. 5 (3) (2009)