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ORCIDEric E. Schadt
Person information
- affiliation: Sema4, Stamford, CT, USA
- affiliation: Icahn School of Medicine at Mount Sinai, New York, NY, USA
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2020 – today
- 2022
[j26]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): 296-305 (2022)- [j25]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): 321-328 (2022) - [j24]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:
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) - [j23]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) - 2021
- [c10]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:
The Real-World Trend Analysis of Cancer Drugs Empowered by Natural Language Processing. AMIA 2021 - [c9]Minghao Li, Kyeryoung Lee, Zongzhi Liu, Meng Ma, Qi Pan, Rong Chen, Eric E. Schadt, Xiaoyan Wang:
Applying Bayesian hyperparameter optimization towards accurate and efficient topic modeling in clinical notes. ICHI 2021: 493-494 - 2020
- [j22]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) - [c8]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:
DxTree: a visual analytics tool for hierarchical representation of disease cohort counts for clinical trials. AMIA 2020
2010 – 2019
- 2019
- [j21]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:
ORE identifies extreme expression effects enriched for rare variants. Bioinform. 35(20): 3906-3912 (2019) - 2018
- [j20]Nicholas K. Akers, Eric E. Schadt, Bojan Losic:
STAR Chimeric Post for rapid detection of circular RNA and fusion transcripts. Bioinform. 34(14): 2364-2370 (2018) - [j19]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) - 2017
- [c7]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: 120-131 - [c6]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: 300-323 - [c5]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: 473-484 - 2016
- [j18]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): 96-105 (2016) - [j17]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): 101-110 (2016) - [j16]Gabriel E. Hoffman, Eric E. Schadt:
variancePartition: interpreting drivers of variation in complex gene expression studies. BMC Bioinform. 17: 483:1-483:13 (2016) - 2015
- [c4]Rui Chang, Jonathan R. Karr, Eric E. Schadt:
Causal Inference in Biology Networks with Integrated Belief Propagation. Pacific Symposium on Biocomputing 2015: 359-370 - 2014
- [j15]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): 3134-3135 (2014) - [j14]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) - [c3]Eric E. Schadt:
A data driven approach to diagnosing and treating disease. KDD 2014: 3 - 2013
- [j13]Zhixing Feng, Gang Fang, Jonas Korlach, Tyson Clark, Khai Luong, Xuegong Zhang, Wing Wong, Eric E. Schadt:
Detecting DNA Modifications from SMRT Sequencing Data by Modeling Sequence Context Dependence of Polymerase Kinetic. PLoS Comput. Biol. 9(3) (2013) - [j12]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) - [c2]Eric E. Schadt:
Mining the digital universe of data to develop personalized cancer therapies. KDD 2013: 1134 - 2012
- [j11]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: 101 (2012) - 2011
- [j10]Haisu Ma, Eric E. Schadt, Lee M. Kaplan, Hongyu Zhao:
COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method. Bioinform. 27(9): 1290-1298 (2011) - [j9]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: 121 (2011) - [c1]Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman:
Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract). UAI 2011: 852 - 2010
- [j8]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) - [j7]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) - [j6]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) - [j5]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)
2000 – 2009
- 2009
- [j4]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) - 2007
- [j3]Xiaodan Fan, Jun Zhu, Eric E. Schadt, Jun S. Liu:
Statistical power of phylo-HMM for evolutionarily conserved element detection. BMC Bioinform. 8 (2007) - [j2]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) - 2003
- [j1]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): 956-965 (2003)
Coauthor Index
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last updated on 2024-04-17 20:38 CEST by the dblp team
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