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Eric E. Schadt

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

4

Active years

2011–2021

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2021AMIAThe Real-World Trend Analysis of Cancer Drugs Empowered by Natural Language Processing.Meng Ma, Kyeryoung Lee, Yun Mai, Chris Gilman, Zongzhi Liu, Mingwei Zhang, Minghao Li, Arielle Redfern, Tommy Mullaney, Tony Prentice, Paul McDonagh, Qi Pan, William Oh, Rong Chen, Eric E. Schadt, Xiaoyan Wang
2020AMIADxTree: a visual analytics tool for hierarchical representation of disease cohort counts for clinical trials.Mingwei Zhang, Zongzhi Liu, Meng Ma, Kyeryoung Lee, Yun Mai, Scott Jones, Chris Gilman, Ying Ru, Matthew Deitz, Yunrou Gong, Xiang Zhou, Krish Ghosh, Rong Chen, Eric E. Schadt, Xiaoyan Wang
2017PSBExploring the Reproducibility of Probabilistic Causal Molecular Network Models>.Ariella Cohain, Aparna A. Divaraniya, Kuixi Zhu, Joseph R. Scarpa, Andrew Kasarskis, Jun Zhu, Rui Chang, Joel T. Dudley, Eric E. Schadt
2017PSBIdentify Cancer Driver Genes Through Shared Mendelian Disease Pathogenic Variants and Cancer Somatic Mutations.Meng Ma, Changchang Wang, Benjamin S. Glicksberg, Eric E. Schadt, Shuyu Dan Li, Rong Chen
2017PSBMethods for Clustering Time Series Data Acquired from Mobile Health Apps.Nicole L. Tignor, Pei Wang, Nicholas Genes, Linda Rogers, Steven G. Hershman, Erick R. Scott, Micol Zweig, Yu-Feng Yvonne Chan, Eric E. Schadt
2015PSBCausal Inference in Biology Networks with Integrated Belief Propagation.Rui Chang, Jonathan R. Karr, Eric E. Schadt
2014KDDA data driven approach to diagnosing and treating disease.Eric E. Schadt
2013KDDMining the digital universe of data to develop personalized cancer therapies.Eric E. Schadt
2011UAICorrection for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract).Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman