Peter J. Castaldi

According to our database, Peter J. Castaldi authored at least 14 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Explanations of Black-Box Models based on Directional Feature Interactions.

Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P. Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, Jennifer G. Dy

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

Zifeng Wang, Aria Masoomi, Zhonghui Xu, Adel Boueiz, Sool Lee, Tingting Zhao, Russell Bowler, Michael H. Cho, Edwin K. Silverman, Craig P. Hersh, Jennifer G. Dy, Peter J. Castaldi

PLoS Comput. Biol., 2021

2020

Instance-wise Feature Grouping.

Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Unsupervised discovery of phenotype-specific multi-omics networks.

W. Jenny Shi, Yonghua Zhuang, Pamela H. Russell, Brian Hobbs, Margaret M. Parker, Peter J. Castaldi, Pratyaydipta Rudra, Brian Vestal, Craig P. Hersh, Laura M. Saba, Katerina J. Kechris

Bioinform., 2019

2018

Crowdclustering with Partition Labels.

Junxiang Chen, Yale Chang, Peter J. Castaldi, Michael H. Cho, Brian Hobbs, Jennifer G. Dy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes.

James C. Ross, Peter J. Castaldi, Michael H. Cho, Junxiang Chen, Yale Chang, Jennifer G. Dy, Edwin K. Silverman, George R. Washko, Raúl San José Estépar

IEEE Trans. Medical Imaging, 2017

Clustering with Domain-Specific Usefulness Scores.

Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Multiple Clustering Views from Multiple Uncertain Experts.

Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

Proceedings of the 34th International Conference on Machine Learning, 2017

Clustering from Multiple Uncertain Experts.

Yale Chang, Junxiang Chen, Michael H. Cho, Peter J. Castaldi, Edwin K. Silverman, Jennifer G. Dy

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Bipartite Community Structure of eQTLs.

John Platig, Peter J. Castaldi, Dawn L. DeMeo, John Quackenbush

PLoS Comput. Biol., 2016

Interpretable Clustering via Discriminative Rectangle Mixture Model.

Junxiang Chen, Yale Chang, Brian Hobbs, Peter J. Castaldi, Michael H. Cho, Edwin K. Silverman, Jennifer G. Dy

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014

Analyzing networks of phenotypes in complex diseases: methodology and applications in COPD.

Jen-hwa Chu, Craig P. Hersh, Peter J. Castaldi, Michael H. Cho, Benjamin A. Raby, Nan M. Laird, Russell Bowler, Stephen I. Rennard, Joseph Loscalzo, John Quackenbush, Edwin K. Silverman

BMC Syst. Biol., 2014

Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease.

James C. Ross, Peter J. Castaldi, Michael H. Cho, Jennifer G. Dy

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2011

An empirical assessment of validation practices for molecular classifiers.

Peter J. Castaldi, Issa J. Dahabreh, John P. A. Ioannidis

Briefings Bioinform., 2011