Amanda G. Paulovich

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 1

Top Topics

Structural Learning

Directed Acyclic Graph

Bayesian Network Structure

Top Venues

Publications

Shrabanti Chowdhury, Ru Wang, Qing Yu, Catherine J. Huntoon, Larry M. Karnitz, Scott H. Kaufmann, Steven P. Gygi, Michael J. Birrer, Amanda G. Paulovich, Jie Peng, Pei Wang
DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer. BMC Bioinform. 23 (1) (2022)
Agnieszka C. Miguel, M. Kearney-Fischer, John F. Keane, Jeffrey Whiteaker, Li-Chia Feng, Amanda G. Paulovich
Near-Lossless Compression of Mass Spectra for Proteomics. ICASSP (1) (2007)
Agnieszka C. Miguel, John F. Keane, Jeffrey Whiteaker, Heidi Zhang, Amanda G. Paulovich
Compression of LC/MS Proteomic Data. DCC (2006)
Pei Wang, Hua Tang, Heidi Zhang, Jeffrey Whiteaker, Amanda G. Paulovich, Martin McIntosh
Normalization Regarding Non-Random Missing Values in High-Throughput Mass Spectrometry Data. Pacific Symposium on Biocomputing (2006)
Matthew Bellew, Marc Coram, Matthew Fitzgibbon, Mark Igra, Timothy W. Randolph, Pei Wang, Damon May, Jimmy K. Eng, Ruihua Fang, ChenWei Lin, Jinzhi Chen, David Goodlett, Jeffrey Whiteaker, Amanda G. Paulovich, Martin McIntosh
A suite of algorithms for the comprehensive analysis of complex protein mixtures using high-resolution LC-MS. Bioinform. 22 (15) (2006)
Agnieszka C. Miguel, John F. Keane, Jeffrey Whiteaker, Heidi Zhang, Amanda G. Paulovich
Compression of LC/MS Proteomic Data. CBMS (2006)