Jason Ernst

According to our database, Jason Ernst authored at least 20 papers between 2005 and 2023.

Collaborative distances:

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

2023

A framework for group-wise summarization and comparison of chromatin state annotations.

Ha Vu, Zane Koch, Petko Fiziev, Jason Ernst

Bioinform., January, 2023

A Novel Cross-Layer Adaptive Fuzzy-Based Ad Hoc On-Demand Distance Vector Routing Protocol for MANETs.

Fatemeh Safari, Herb Kunze, Jason Ernst, Daniel Gillis

IEEE Access, 2023

A Review of AI-based MANET Routing Protocols.

Fatemeh Safari, Izabela Savic, Herb Kunze, Jason Ernst, Daniel Gillis

Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

2021

It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process.

Brent J. Hecht, Lauren Wilcox, Jeffrey P. Bigham, Johannes Schöning, Ehsan Hoque, Jason Ernst, Yonatan Bisk, Luigi De Russis, Lana Yarosh, Bushra Anjum, Danish Contractor, Cathy Wu

CoRR, 2021

Co-designing a community-led Internet assessment tool in Rigolet, Nunatsiavut, Canada.

Nic Durish, Rekkab Gill, Patrick Houlding, Charlie Flowers, Inez Shiwak, Jason Ernst, Daniel Gillis

Proceedings of the IEEE International Symposium on Technology and Society, 2021

Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data.

Amnon Catav, Boyang Fu, Yazeed Zoabi, Ahuva Weiss-Meilik, Noam Shomron, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach

Proceedings of the 38th International Conference on Machine Learning, 2021

M-ODD: A Standard Protocol for Reporting MANET Related Models, Simulations, and Findings.

Izabela Savic, Marshall Asch, Keefer Rourke, Fatemeh Safari, Patrick Houlding, Jeremie Fraeys de Veubeke, Jason Ernst, Daniel Gillis

Proceedings of the Ad Hoc Networks and Tools for IT - 13th EAI International Conference, 2021

2020

Marginal Contribution Feature Importance - an Axiomatic Approach for The Natural Case.

Amnon Catav, Boyang Fu, Jason Ernst, Sriram Sankararaman, Ran Gilad-Bachrach

CoRR, 2020

An integrative approach for fine-mapping chromatin interactions.

Artur Tomasz Jaroszewicz, Jason Ernst

Bioinform., 2020

2016

Using genomic annotations increases statistical power to detect eGenes.

Dat Duong, Jennifer Zou, Farhad Hormozdiari, Jae Hoon Sul, Jason Ernst, Buhm Han, Eleazar Eskin

Bioinform., 2016

2015

Integrative analysis of 111 reference human epigenomes Open.

Roadmap Epigenomics Consortium, Anshul Kundaje, Wouter Meuleman, Jason Ernst, Misha Bilenky, Angela Yen, Alireza Heravi Moussavi, Pouya Kheradpour, ZhiZhuo Zhang, Jianrong Wang, Michael J. Ziller, Viren Amin, John W. Whitaker, Matthew D. Schultz, Lucas D. Ward, Abhishek Sarkar, Gerald T. Quon, Richard S. Sandstrom, Matthew L. Eaton, Yi-Chieh Wu, Andreas R. Pfenning, Xinchen Wang, Melina Claussnitzer, Yaping Liu, Cristian Coarfa, R. Alan Harris, Noam Shoresh, Charles B. Epstein, Elizabeta Gjoneska, Danny Leung, Wei Xie, R. David Hawkins, Ryan Lister, Chibo Hong, Philippe Gascard, Andrew J. Mungall, Richard A. Moore, Eric Chuah, Angela Tam, Theresa K. Canfield, R. Scott Hansen, Rajinder Kaul, Peter J. Sabo, Mukul S. Bansal, Annaick Carles, Jesse R. Dixon, Kyle Kai-How Farh, Soheil Feizi, Rosa Karlic, Ah-Ram Kim, Ashwinikumar Kulkarni, Daofeng Li, Rebecca F. Lowdon, GiNell Elliott, Tim R. Mercer, Shane J. Neph, Vitor Onuchic, Paz Polak, Nisha Rajagopal, Pradipta Ray, Richard C. Sallari, Kyle T. Siebenthall, Nicholas A. Sinnott-Armstrong, Michael Stevens, Robert E. Thurman, Jie Wu, Bo Zhang, Xin Zhou, Arthur E. Beaudet, Laurie A. Boyer, Philip L. De Jager, Peggy J. Farnham, Susan J. Fisher, David Haussler, Steven J. M. Jones, Wei Li, Marco A. Marra, Michael T. McManus, Shamil R. Sunyaev, James A. Thomson, Thea D. Tlsty, Li-Huei Tsai, Wei Wang, Robert A. Waterland, Michael Q. Zhang, Lisa H. Chadwick, Bradley E. Bernstein, Joseph F. Costello, Joseph R. Ecker, Martin Hirst, Alexander Meissner, Aleksandar Milosavljevic, Bing Ren, John A. Stamatoyannopoulos, Ting Wang, Manolis Kellis

Nat., 2015

2013

RFECS: A Random-Forest Based Algorithm for Enhancer Identification from Chromatin State.

Nisha Rajagopal, Wei Xie, Yan Li, Uli Wagner, Wei Wang, John A. Stamatoyannopoulos, Jason Ernst, Manolis Kellis, Bing Ren

PLoS Comput. Biol., 2013

2012

DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data.

Marcel H. Schulz, William E. Devanny, Anthony Gitter, Shan Zhong, Jason Ernst, Ziv Bar-Joseph

BMC Syst. Biol., 2012

2011

Discovery and Characterization of Chromatin States for Systematic Annotation of the Human Genome.

Jason Ernst, Manolis Kellis

Proceedings of the Research in Computational Molecular Biology, 2011

2008

A Semi-Supervised Method for Predicting Transcription Factor-Gene Interactions in <i>Escherichia coli</i>.

Jason Ernst, Qasim K. Beg, Krin A. Kay, Gábor Balázsi, Zoltán N. Oltvai, Ziv Bar-Joseph

PLoS Comput. Biol., 2008

Impact of the solvent capacity constraint on E. coli metabolism.

Alexei Vázquez, Qasim K. Beg, Marcio A. de Menezes, Jason Ernst, Ziv Bar-Joseph, Albert-László Barabási, László G. Boros, Zoltán N. Oltvai

BMC Syst. Biol., 2008

Customized Reconfigurable Interconnection Networks for multiple application SOCS.

Hongbing Fan, Jason Ernst, Yu-Liang Wu

Proceedings of the FPL 2008, 2008

Algorithms and Implementation for Interconnection Graph Problem.

Hongbing Fan, Christian Hundt, Yu-Liang Wu, Jason Ernst

Proceedings of the Combinatorial Optimization and Applications, 2008

2006

STEM: a tool for the analysis of short time series gene expression data.

Jason Ernst, Ziv Bar-Joseph

BMC Bioinform., 2006

2005

Clustering short time series gene expression data.

Jason Ernst, Gerard J. Nau, Ziv Bar-Joseph

Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005