Eric E. Schadt

According to our database, Eric E. Schadt authored at least 36 papers between 2003 and 2022.

Collaborative distances:

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

2022

Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data.

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

npj Digit. Medicine, 2022

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum.

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, Nick Taptiklis, C. Centen, S. Smith, Stephen H. Friend

npj Digit. Medicine, 2022

A comprehensive digital phenotype for postpartum hemorrhage.

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

J. Am. Medical Informatics Assoc., 2022

Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records.

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

J. Am. Medical Informatics Assoc., 2022

2021

Applying Bayesian hyperparameter optimization towards accurate and efficient topic modeling in clinical notes.

Minghao Li, Kyeryoung Lee, Zongzhi Liu, Meng Ma, Qi Pan, Rong Chen, Eric E. Schadt, Xiaoyan Wang

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

The 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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Predictive network modeling in human induced pluripotent stem cells identifies key driver genes for insulin responsiveness.

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

PLoS Comput. Biol., 2020

DxTree: 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

Proceedings of the AMIA 2020, 2020

2019

ORE identifies extreme expression effects enriched for rare variants.

Felix Richter, Gabriel E. Hoffman, K. B. Manheimer, Nihir Patel, A J. Sharp, D. McKean, S. U. Morton, S. DePalma, J. Gorham, A Kitaygorodksy, Jr G. A Porter, A Giardini, Y. Shen, Wendy K. Chung, J. G. Seidman, C. E. Seidman, Eric E. Schadt, Bruce D. Gelb

Bioinform., 2019

2018

From smartphone to EHR: a case report on integrating patient-generated health data.

Nicholas Genes, Samantha Violante, Christine Cetrangol, Linda Rogers, Eric E. Schadt, Yu-Feng Yvonne Chan

npj Digit. Medicine, 2018

STAR Chimeric Post for rapid detection of circular RNA and fusion transcripts.

Nicholas K. Akers, Eric E. Schadt, Bojan Losic

Bioinform., 2018

2017

Methods 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

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Identify 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

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Exploring 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

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016

variancePartition: interpreting drivers of variation in complex gene expression studies.

Gabriel E. Hoffman, Eric E. Schadt

BMC Bioinform., 2016

Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers.

Eunjee Lee, Koichi Ito, Yong Zhao, Eric E. Schadt, Hanna Y. Irie, Jun Zhu

Bioinform., 2016

Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.

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

Bioinform., 2016

2015

Causal Inference in Biology Networks with Integrated Belief Propagation.

Rui Chang, Jonathan R. Karr, Eric E. Schadt

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014

MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis.

Seungyeul Yoo, Tao Huang, Joshua D. Campbell, Eunjee Lee, Zhidong Tu, Mark W. Geraci, Charles A. Powell, Eric E. Schadt, Avrum Spira, Jun Zhu

PLoS Comput. Biol., 2014

lrgpr: interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in R.

Gabriel E. Hoffman, Jason G. Mezey, Eric E. Schadt

Bioinform., 2014

A data driven approach to diagnosing and treating disease.

Eric E. Schadt

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

2013

Detecting DNA Modifications from SMRT Sequencing Data by Modeling Sequence Context Dependence of Polymerase Kinetic.

Zhixing Feng, Gang Fang, Jonas Korlach, Tyson Clark, Khai Luong, Xuegong Zhang, Wing Wong, Eric E. Schadt

PLoS Comput. Biol., 2013

Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling.

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

PLoS Comput. Biol., 2013

Mining the digital universe of data to develop personalized cancer therapies.

Eric E. Schadt

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012

Integrating external biological knowledge in the construction of regulatory networks from time-series expression data.

Kenneth Lo, Adrian E. Raftery, Kenneth M. Dombek, Jun Zhu, Eric E. Schadt, Roger Eugene Bumgarner, Ka Yee Yeung

BMC Syst. Biol., 2012

2011

Inferring causal genomic alterations in breast cancer using gene expression data.

Linh M. Tran, Bin Zhang, Zhan Zhang, Chunsheng Zhang, Tao Xie, John R. Lamb, Hongyue Dai, Eric E. Schadt, Jun Zhu

BMC Syst. Biol., 2011

COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.

Haisu Ma, Eric E. Schadt, Lee M. Kaplan, Hongyu Zhao

Bioinform., 2011

Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract).

Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman

Proceedings of the UAI 2011, 2011

2010

Characterizing Dynamic Changes in the Human Blood Transcriptional Network.

Jun Zhu, Yanqing Chen, Amy S. Leonardson, Kai Wang, John R. Lamb, Valur Emilsson, Eric E. Schadt

PLoS Comput. Biol., 2010

A Bayesian Partition Method for Detecting Pleiotropic and Epistatic eQTL Modules.

Wei Zhang, Jun Zhu, Eric E. Schadt, Jun S. Liu

PLoS Comput. Biol., 2010

An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions.

Gaurav Pandey, Bin Zhang, Aaron N. Chang, Chad L. Myers, Jun Zhu, Vipin Kumar, Eric E. Schadt

PLoS Comput. Biol., 2010

Simultaneous Clustering of Multiple Gene Expression and Physical Interaction Datasets.

Manikandan Narayanan, Adrian Vetta, Eric E. Schadt, Jun Zhu

PLoS Comput. Biol., 2010

2009

Meta-analysis of Inter-species Liver Co-expression Networks Elucidates Traits Associated with Common Human Diseases.

Kai Wang, Manikandan Narayanan, Hua Zhong, Martin Tompa, Eric E. Schadt, Jun Zhu

PLoS Comput. Biol., 2009

2007

Increasing the Power to Detect Causal Associations by Combining Genotypic and Expression Data in Segregating Populations.

Jun Zhu, Matthew C. Wiener, Chunsheng Zhang, Arthur Fridman, Eric Minch, Pek Y. Lum, Jeffrey R. Sachs, Eric E. Schadt

PLoS Comput. Biol., 2007

Statistical power of phylo-HMM for evolutionarily conserved element detection.

Xiaodan Fan, Jun Zhu, Eric E. Schadt, Jun S. Liu

BMC Bioinform., 2007

2003

Microarray Standard Data Set and Figures of Merit for Comparing Data Processing Methods and Experiment Designs.

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

Bioinform., 2003