Eric E. Schadt

Affiliations:
  • Sema4, Stamford, CT, USA
  • Icahn School of Medicine at Mount Sinai, New York, NY, USA


According to our database1, Eric E. Schadt authored at least 36 papers between 2003 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data.
npj Digit. Medicine, 2022

Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum.
npj Digit. Medicine, 2022

A comprehensive digital phenotype for postpartum hemorrhage.
J. Am. Medical Informatics Assoc., 2022

Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records.
J. Am. Medical Informatics Assoc., 2022

2021
Applying Bayesian hyperparameter optimization towards accurate and efficient topic modeling in clinical notes.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

The Real-World Trend Analysis of Cancer Drugs Empowered by Natural Language Processing.
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.
PLoS Comput. Biol., 2020

DxTree: a visual analytics tool for hierarchical representation of disease cohort counts for clinical trials.
Proceedings of the AMIA 2020, 2020

2019
ORE identifies extreme expression effects enriched for rare variants.
Bioinform., 2019

2018
From smartphone to EHR: a case report on integrating patient-generated health data.
npj Digit. Medicine, 2018

STAR Chimeric Post for rapid detection of circular RNA and fusion transcripts.
Bioinform., 2018

2017
Methods for Clustering Time Series Data Acquired from Mobile Health Apps.
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.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Exploring the Reproducibility of Probabilistic Causal Molecular Network Models>.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016
variancePartition: interpreting drivers of variation in complex gene expression studies.
BMC Bioinform., 2016

Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers.
Bioinform., 2016

Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.
Bioinform., 2016

2015
Causal Inference in Biology Networks with Integrated Belief Propagation.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
MODMatcher: Multi-Omics Data Matcher for Integrative Genomic Analysis.
PLoS Comput. Biol., 2014

lrgpr: interactive linear mixed model analysis of genome-wide association studies with composite hypothesis testing and regression diagnostics in R.
Bioinform., 2014

A data driven approach to diagnosing and treating disease.
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.
PLoS Comput. Biol., 2013

Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling.
PLoS Comput. Biol., 2013

Mining the digital universe of data to develop personalized cancer therapies.
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.
BMC Syst. Biol., 2012

2011
Inferring causal genomic alterations in breast cancer using gene expression data.
BMC Syst. Biol., 2011

COSINE: COndition-SpecIfic sub-NEtwork identification using a global optimization method.
Bioinform., 2011

Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract).
Proceedings of the UAI 2011, 2011

2010
Characterizing Dynamic Changes in the Human Blood Transcriptional Network.
PLoS Comput. Biol., 2010

A Bayesian Partition Method for Detecting Pleiotropic and Epistatic eQTL Modules.
PLoS Comput. Biol., 2010

An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions.
PLoS Comput. Biol., 2010

Simultaneous Clustering of Multiple Gene Expression and Physical Interaction Datasets.
PLoS Comput. Biol., 2010

2009
Meta-analysis of Inter-species Liver Co-expression Networks Elucidates Traits Associated with Common Human Diseases.
PLoS Comput. Biol., 2009

2007
Increasing the Power to Detect Causal Associations by Combining Genotypic and Expression Data in Segregating Populations.
PLoS Comput. Biol., 2007

Statistical power of phylo-HMM for evolutionarily conserved element detection.
BMC Bioinform., 2007

2003
Microarray Standard Data Set and Figures of Merit for Comparing Data Processing Methods and Experiment Designs.
Bioinform., 2003


  Loading...