Eric E. Schadt

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 15

Top Topics

Biological Knowledge

Gene Expression

Electronic Medical Record

Top Venues

npj Digit. Medicine

PLoS Comput. Biol.

Publications

Sarah M. Goodday, E. Karlin, A. Brooks, C. Chapman, Daniel R. Karlin, Luca Foschini, E. Kipping, M. Wildman, M. Francis, H. Greenman, Li Li, Eric E. Schadt, Marzyeh Ghassemi, Anna Goldenberg, Francesca Cormack, N. Taptiklis, C. Centen, S. Smith, Stephen H. Friend
Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum. npj Digit. Medicine 5 (2022)
Amanda B. Zheutlin, Luciana Vieira, Ryan A. Shewcraft, Shilong Li, Zichen Wang, Emilio Schadt, Susan Gross, Siobhan M. Dolan, Joanne Stone, Eric E. Schadt, Li Li
Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records. J. Am. Medical Informatics Assoc. 29 (2) (2022)
Shilong Li, Zichen Wang, Luciana Vieira, Amanda B. Zheutlin, Boshu Ru, Emilio Schadt, Pei Wang, Alan B. Copperman, Joanne Stone, Susan Gross, Yu-Han Kao, Yan Kwan Lau, Siobhan M. Dolan, Eric E. Schadt, Li Li
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data. npj Digit. Medicine 5 (2022)
Amanda B. Zheutlin, Luciana Vieira, Ryan A. Shewcraft, Shilong Li, Zichen Wang, Emilio Schadt, Yu-Han Kao, Susan Gross, Siobhan M. Dolan, Joanne Stone, Eric E. Schadt, Li Li
A comprehensive digital phenotype for postpartum hemorrhage. J. Am. Medical Informatics Assoc. 29 (2) (2022)
Ivan Carcamo-Orive, Marc Y. R. Henrion, Kuixi Zhu, Noam D. Beckmann, Paige Cundiff, Sara Moein, Zenan Zhang, Melissa Alamprese, Sunita L. D'Souza, Martin Wabitsch, Eric E. Schadt, Thomas Quertermous, Joshua W. Knowles, Rui Chang
Predictive network modeling in human induced pluripotent stem cells identifies key driver genes for insulin responsiveness. PLoS Comput. Biol. 16 (12) (2020)
Felix Richter, Gabriel E. Hoffman, K. B. Manheimer, N. Patel, A J. Sharp, D. McKean, S. U. Morton, S. DePalma, J. Gorham, A Kitaygorodksy, Jr G. A Porter, A Giardini, Y. Shen, W. K. Chung, J. G. Seidman, C. E. Seidman, Eric E. Schadt, Bruce D. Gelb
ORE identifies extreme expression effects enriched for rare variants. Bioinform. 35 (20) (2019)
Nicholas Genes, Samantha Violante, Christine Cetrangol, Linda Rogers, Eric E. Schadt, Yu-Feng Yvonne Chan
From smartphone to EHR: a case report on integrating patient-generated health data. npj Digit. Medicine 1 (2018)
Nicholas K. Akers, Eric E. Schadt, Bojan Losic
STAR Chimeric Post for rapid detection of circular RNA and fusion transcripts. Bioinform. 34 (14) (2018)
Ariella Cohain, Aparna A. Divaraniya, Kuixi Zhu, Joseph R. Scarpa, Andrew Kasarskis, Jun Zhu, Rui Chang, Joel T. Dudley, Eric E. Schadt
Exploring the Reproducibility of Probabilistic Causal Molecular Network Models>. PSB (2017)
Meng Ma, Changchang Wang, Benjamin S. Glicksberg, Eric E. Schadt, Shuyu Dan Li, Rong Chen
Identify Cancer Driver Genes Through Shared Mendelian Disease Pathogenic Variants and Cancer Somatic Mutations. PSB (2017)
Nicole L. Tignor, Pei Wang, Nicholas Genes, Linda Rogers, Steven G. Hershman, Erick R. Scott, Micol Zweig, Yu-Feng Yvonne Chan, Eric E. Schadt
Methods for Clustering Time Series Data Acquired from Mobile Health Apps. PSB (2017)
Benjamin S. Glicksberg, Li Li, Marcus A. Badgeley, Khader Shameer, Roman Kosoy, Noam D. Beckmann, Nam Pho, Jörg Hakenberg, Meng Ma, Kristin L. Ayers, Gabriel E. Hoffman, Shuyu Dan Li, Eric E. Schadt, Chirag J. Patel, Rong Chen, Joel T. Dudley
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks. Bioinform. 32 (12) (2016)
Gabriel E. Hoffman, Eric E. Schadt
variancePartition: interpreting drivers of variation in complex gene expression studies. BMC Bioinform. 17 (2016)
Eunjee Lee, Koichi Ito, Yong Zhao, Eric E. Schadt, Hanna Y. Irie, Jun Zhu
Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers. Bioinform. 32 (1) (2016)
Rui Chang, Jonathan R. Karr, Eric E. Schadt
Causal Inference in Biology Networks with Integrated Belief Propagation. Pacific Symposium on Biocomputing (2015)
Gabriel E. Hoffman, Jason G. Mezey, Eric E. Schadt
lrgpr: interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in R. Bioinform. 30 (21) (2014)
Seungyeul Yoo, Tao Huang, Joshua D. Campbell, Eunjee Lee, Zhidong Tu, Mark W. Geraci, Charles A. Powell, Eric E. Schadt, Avrum Spira, Jun Zhu
MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis. PLoS Comput. Biol. 10 (8) (2014)
Eric E. Schadt
A data driven approach to diagnosing and treating disease. KDD (2014)
Erhan Bilal, Janusz Dutkowski, Justin Guinney, In Sock Jang, Benjamin A. Logsdon, Gaurav Pandey, Benjamin A. Sauerwine, Yishai Shimoni, Hans Kristian Moen Vollan, Brigham H. Mecham, Oscar M. Rueda, Jorg Tost, Christina Curtis, Mariano J. Alvarez, Vessela N. Kristensen, Samuel Aparicio, Anne-Lise Børresen-Dale, Carlos Caldas, Andrea Califano, Stephen H. Friend, Trey Ideker, Eric E. Schadt, Gustavo A. Stolovitzky, Adam A. Margolin
Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling. PLoS Comput. Biol. 9 (5) (2013)
Eric E. Schadt
Mining the digital universe of data to develop personalized cancer therapies. KDD (2013)
Kenneth Lo, Adrian E. Raftery, Kenneth M. Dombek, Jun Zhu, Eric E. Schadt, Roger Eugene Bumgarner, Ka Yee Yeung
Integrating external biological knowledge in the construction of regulatory networks from time-series expression data. BMC Syst. Biol. 6 (2012)
Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman
Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract). UAI (2011)
Haisu Ma, Eric E. Schadt, Lee M. Kaplan, Hongyu Zhao
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method. Bioinform. 27 (9) (2011)
Linh M. Tran, Bin Zhang, Zhan Zhang, Chunsheng Zhang, Tao Xie, John R. Lamb, Hongyue Dai, Eric E. Schadt, Jun Zhu
Inferring causal genomic alterations in breast cancer using gene expression data. BMC Syst. Biol. 5 (2011)
Wei Zhang, Jun Zhu, Eric E. Schadt, Jun S. Liu
A Bayesian Partition Method for Detecting Pleiotropic and Epistatic eQTL Modules. PLoS Comput. Biol. 6 (1) (2010)
Gaurav Pandey, Bin Zhang, Aaron N. Chang, Chad L. Myers, Jun Zhu, Vipin Kumar, Eric E. Schadt
An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions. PLoS Comput. Biol. 6 (9) (2010)
Manikandan Narayanan, Adrian Vetta, Eric E. Schadt, Jun Zhu
Simultaneous Clustering of Multiple Gene Expression and Physical Interaction Datasets. PLoS Comput. Biol. 6 (4) (2010)
Jun Zhu, Yanqing Chen, Amy S. Leonardson, Kai Wang, John R. Lamb, Valur Emilsson, Eric E. Schadt
Characterizing Dynamic Changes in the Human Blood Transcriptional Network. PLoS Comput. Biol. 6 (2) (2010)
Kai Wang, Manikandan Narayanan, Hua Zhong, Martin Tompa, Eric E. Schadt, Jun Zhu
Meta-analysis of Inter-species Liver Co-expression Networks Elucidates Traits Associated with Common Human Diseases. PLoS Comput. Biol. 5 (12) (2009)
Jun Zhu, Matthew C. Wiener, Chunsheng Zhang, Arthur Fridman, Eric Minch, Pek Y. Lum, Jeffrey R. Sachs, Eric E. Schadt
Increasing the Power to Detect Causal Associations by Combining Genotypic and Expression Data in Segregating Populations. PLoS Comput. Biol. 3 (4) (2007)
Xiaodan Fan, Jun Zhu, Eric E. Schadt, Jun S. Liu
Statistical power of phylo-HMM for evolutionarily conserved element detection. BMC Bioinform. 8 (2007)
Yudong D. He, Hongyue Dai, Eric E. Schadt, Guy Cavet, Stephen W. Edwards, Sergey B. Stepaniants, Sven Duenwald, Robert Kleinhanz, Allan R. Jones, Daniel D. Shoemaker, Roland B. Stoughton
Microarray Standard Data Set and Figures of Merit for Comparing Data Processing Methods and Experiment Designs. Bioinform. 19 (8) (2003)