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ORCIDEvan M. Cofer
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Books and Theses
- 2023
[b1]Evan M. Cofer:
A Computational Approach to the Study of Regulatory Genomics. Princeton University, USA, 2023
Journal Articles
- 2022
- [j3]Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Brandon Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca:
Ten quick tips for deep learning in biology. PLoS Comput. Biol. 18(3) (2022) - 2020
- [j2]Alan Le Goallec
, Braden T. Tierney, Jacob M. Luber, Evan M. Cofer, Aleksandar D. Kostic, Chirag J. Patel:
A systematic machine learning and data type comparison yields metagenomic predictors of infant age, sex, breastfeeding, antibiotic usage, country of origin, and delivery type. PLoS Comput. Biol. 16(5) (2020) - 2018
- [j1]Jacob M. Luber, Braden T. Tierney, Evan M. Cofer, Chirag J. Patel, Aleksandar D. Kostic:
Aether: leveraging linear programming for optimal cloud computing in genomics. Bioinform. 34(9): 1565-1567 (2018)
Informal and Other Publications
- 2021
- [i1]Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra J. Lee, Marc G. Chevrette, Paul Allen Stewart, Thiago Britto-Borges, Evan M. Cofer, Kun-Hsing Yu, Juan Jose Carmona, Elana J. Fertig, Alexandr A. Kalinin, Beth Signal, Benjamin J. Lengerich, Timothy J. Triche Jr., Simina M. Boca:
Ten Quick Tips for Deep Learning in Biology. CoRR abs/2105.14372 (2021)
Coauthor Index
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