Peter J. Woolf

发表

Prediction of Novel Pathway Elements and Interactions Using Bayesian Networks

Andrew P. Hodges, Peter J. Woolf, Yongqun He ξ, 2011 .

Systems Approach for Understanding Metastasis

Peter J. Woolf, Angel Alvarez, Venkateshwar G. Keshamouni, 2009 .

High-level Modeling of Biological Networks

Peter J. Woolf, Kevin A. Janes, Shayn M. Peirce, 2010 .

poolMC: Smart pooling of mRNA samples in microarray experiments

Peter J. Woolf, Anna C. Gilbert, Raghunandan M. Kainkaryam, 2010, BMC Bioinformatics.

Partially observed bipartite network analysis to identify predictive connections in transcriptional regulatory networks

Peter J. Woolf, Angel Alvarez, P. Woolf, 2011, BMC Systems Biology.

Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data

Peter J. Woolf, Abhik Shah, 2009, J. Mach. Learn. Res..

GAGE: generally applicable gene set enrichment for pathway analysis

Peter J. Woolf, Kerby Shedden, Weijun Luo, 2009, BMC Bioinformatics.

RegNetB: Predicting Relevant Regulator-Gene Relationships in Localized Prostate Tumor Samples

Peter J. Woolf, Angel Alvarez, P. Woolf, 2011, BMC Bioinformatics.

Using mechanistic Bayesian networks to identify downstream targets of the Sonic Hedgehog pathway

Peter J. Woolf, Andrew P. McMahon, Abhik Shah, 2009, BMC Bioinformatics.

Revealing Social Networks of Spammers Through Spectral Clustering

Alfred O. Hero, Peter J. Woolf, Kevin S. Xu, 2009, 2009 IEEE International Conference on Communications.

Bayesian analysis of signaling networks governing embryonic stem cell fate decisions

Peter J. Woolf, George Q. Daley, Douglas A. Lauffenburger, 2005, Bioinform..

Time series gene expression profiling and temporal regulatory pathway analysis of BMP6 induced osteoblast differentiation and mineralization

Peter J. Woolf, Weijun Luo, Michael S. Friedman, 2011, BMC Systems Biology.

poolHiTS: A Shifted Transversal Design based pooling strategy for high-throughput drug screening

Peter J. Woolf, Raghunandan M. Kainkaryam, P. Woolf, 2008, BMC Bioinformatics.

Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual information

Peter J. Woolf, Weijun Luo, Kurt D. Hankenson, 2008, BMC Bioinformatics.

miniTUBA: medical inference by network integration of temporal data using Bayesian analysis

Peter J. Woolf, Yongqun He, Zuoshuang Xiang, 2007, Bioinform..

Monte Carlo simulations of receptor dynamics: Insights into cell signaling

Peter J. Woolf, Jennifer J. Linderman, J. Linderman, 2004, Journal of Molecular Histology.

A Mechanistic Model of PCR for Accurate Quantification of Quantitative PCR Data

Peter J. Woolf, Gregory J. Boggy, P. Woolf, 2010, PloS one.