Ernest Fraenkel

Orcid: 0000-0001-9249-8181

According to our database1, Ernest Fraenkel authored at least 30 papers between 2005 and 2023.

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Bibliography

2023
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficiently predicting high resolution mass spectra with graph neural networks.
Proceedings of the International Conference on Machine Learning, 2023

Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description.
Proceedings of the IEEE International Conference on Digital Health, 2023

2022
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data.
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Nat. Comput. Sci., 2022

Adaptive Bias Correction for Improved Subseasonal Forecasting.
CoRR, 2022

ALS community pressing issues: lessons from a survey.
Proceedings of the AMIA 2022, 2022

2021
Learned Benchmarks for Subseasonal Forecasting.
CoRR, 2021

Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Evaluating the utility of a picture description task for monitoring progression of ALS at home.
Proceedings of the AMIA 2020, 2020

2019
Shallow Sparsely-Connected Autoencoders for Gene Set Projection.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2017
PCSF: An R-package for network-based interpretation of high-throughput data.
PLoS Comput. Biol., 2017

Graph-Sparse Logistic Regression.
CoRR, 2017

A Fast Prize-Collecting Steiner Forest Algorithm for Functional Analyses in Biological Networks.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2017

2016
Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package.
PLoS Comput. Biol., 2016

Unsupervised learning of transcriptional regulatory networks via latent tree graphical models.
CoRR, 2016

2015
SAMNetWeb: identifying condition-specific networks linking signaling and transcription.
Bioinform., 2015

2014
Sharing Information to Reconstruct Patient-Specific Pathways in Heterogeneous Diseases.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013
Linking Proteomic and Transcriptional Data through the Interactome and Epigenome Reveals a Map of Oncogene-induced Signaling.
PLoS Comput. Biol., 2013

Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem.
J. Comput. Biol., 2013

2012
SteinerNet: a web server for integrating 'omic' data to discover hidden components of response pathways.
Nucleic Acids Res., 2012

2011
ResponseNet: revealing signaling and regulatory networks linking genetic and transcriptomic screening data.
Nucleic Acids Res., 2011

2010
A Quantitative Model of Transcriptional Regulation Reveals the Influence of Binding Location on Expression.
PLoS Comput. Biol., 2010

2008
Session Introduction.
Proceedings of the Biocomputing 2008, 2008

2007
WebMOTIFS: automated discovery, filtering and scoring of DNA sequence motifs using multiple programs and Bayesian approaches.
Nucleic Acids Res., 2007

Session Introduction.
Proceedings of the Biocomputing 2007, 2007

2006
Practical Strategies for Discovering Regulatory DNA Sequence Motifs.
PLoS Comput. Biol., 2006

An improved map of conserved regulatory sites for <i>Saccharomyces cerevisiae</i>.
BMC Bioinform., 2006

A hypothesis-based approach for identifying the binding specificity of regulatory proteins from chromatin immunoprecipitation data.
Bioinform., 2006

2005
TAMO: a flexible, object-oriented framework for analyzing transcriptional regulation using DNA-sequence motifs.
Bioinform., 2005

Yeast Cells as a Discovery Platform for Neurodegenerative Disease.
Proceedings of the Research in Computational Molecular Biology, 2005


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