Recent & Upcoming Events

May 31, 2018

Fourth Annual CPCP Retreat

One-day event featuring presentations and posters by CPCP members with opportunities for networking

Apr 10, 2018

Fairness in Health Care Data Analytics

CPCP Privacy/Fairness Seminar

Feb 20, 2018

Lessons (Not) to be Learned from the Debate about Genetic Privacy by Dr. Ellen Wright Clayton

CPCP Privacy/Fairness Seminar

Oct 31, 2017

The Fairsquare Project: Countering Programs that Discriminate by Dr. Aws Albarghouthi

CPCP Privacy/Fairness Seminar

Oct 24, 2017

Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning for Healthcare by Dr. Rich Caruana

CPCP Privacy/Fairness Seminar

Training Resources

CPCP 2018 Retreat: Introduction Symposium Video

Welcoming remarks by Mark Craven

CPCP 2018 Retreat: Entity and Text Matching Symposium Video

Talk by AnHai Doan

CPCP 2018 Retreat: Modeling Hierarchical Structure using Multiscale Factorization - Tracking Early Decline in Alzheimer's Disease Symposium Video

Talk by Vamsi Ithapu

CPCP 2018 Retreat: Graph Total Variation Regularization for fMRI Neural Decoding Symposium Video

Talk by Rebecca Willett

CPCP 2018 Retreat: Patient Centered Phenotyping for Breast Cancer Screening Symposium Video

Talk by Elizabeth Burnside

Recent Publications

Privacy-preserving ridge regression with only linearly-homomorphic encryption. Giacomelli I , Jha S, Joye M, Page CD, Yoon K. Proceedings of Applied Cryptography & Network Security (ACNS), 2018

Opportunities and obstacles for deep learning in biology and medicine. Ching T et al. Journal of the Royal Society Interface 15:20170387, 2018

MatchCatcher: A debugger for blocking in entity matching. Li H, Konda P, Suganthan P, Doan A, Snyder B, Park Y, Krishnan G, Deep R, Raghavendra V. Proceedings of International Conference on Extending Database Technology (EDBT), 2018

Utility of genetic testing in addition to mammography for determining risk of breast cancer depends on patient age. Feld S, Fan J, Yuan M, Wu Y, Woo K, Alexandridis R, Burnside E. Proceedings of the AMIA Informatics Summit, 2018

Using machine learning algorithms to predict risk for development of calciphylaxis in patients with chronic kidney disease. Kleiman R, LaRose E, Badger J, Page D, Caldwell M, Clay J, Peissig P. Proceedings of the AMIA Informatics Summit, 2018

Recent Resources

atSNP Search software

atSNP Search is a web tool that evaluates the impact of single nucleotide polymorphisms (SNPs) on transcription factor binding (TF) in silico. It statistically quantifies whether any given SNP from the dbSNP Build 144 is likely to lead to gain and/or loss of function for binding of any TF from existing TF binding profile databases.

RKColocal software

RKColocal provides baisc functions for dual-channel image input/output and colocalization analysis. RKColocal includes tools to display joint distribution of pixel intensities for colocalization analysis, evaluate the average degree of colocalization in a given region, quantify the degree of colocalization at each pixel and identify colocalized region.

CMINT software

Chromatin Module INference on Trees (CMINT) is an algorithm for learning chromatin modules, defined as groups of genomic loci that have similar chromatin states. Chromatin states in turn are defined by a combination of chromatin mark profiles.

scDD software

scDD is an R package to identify genes with distributional changes across conditions in a single-cell RNA-seq experiment

scPattern software

scPattern is an R package to identify and classify gene expression changes in ordered single-cell RNA-seq experiments