Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry

Por Halloran, John T., Bilmes, Jeff A., Noble, William S.
Publicado em 2014

A dynamic Bayesian network for accurate detection of peptides from tandem mass spectra

Por Halloran, John T., Bilmes, Jeff A., Noble, William S.
Publicado no J Proteome Res (2016)

Learning a Weighted Sequence Model of the Nucleosome Core and Linker Yields More Accurate Predictions in Saccharomyces cerevisiae and Homo sapiens

Por Reynolds, Sheila M., Bilmes, Jeff A., Noble, William Stafford
Publicado em 2010

Faster and more accurate graphical model identification of tandem mass spectra using trellises

Por Wang, Shengjie, Halloran, John T., Bilmes, Jeff A., Noble, William S.
Publicado no Bioinformatics (2016)

Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra

Por Singh, Ajit P., Halloran, John, Bilmes, Jeff A., Kirchoff, Katrin, Noble, William S.
Publicado no Uncertain Artif Intell (2012)

A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data

Por Chen, Xiaoyu, Hoffman, Michael M., Bilmes, Jeff A., Hesselberth, Jay R., Noble, William S.
Publicado em 2010

Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks

Por Reynolds, Sheila M., Käll, Lukas, Riffle, Michael E., Bilmes, Jeff A., Noble, William Stafford
Publicado em 2008

Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification

Por Klammer, Aaron A., Reynolds, Sheila M., Bilmes, Jeff A., MacCoss, Michael J., Noble, William Stafford
Publicado em 2008

Unsupervised pattern discovery in human chromatin structure through genomic segmentation

Por Hoffman, Michael M., Buske, Orion J., Wang, Jie, Weng, Zhiping, Bilmes, Jeff A., Noble, William Stafford
Publicado em 2012