Author

E. Miri

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Eigege· 1 shared B. K. Singh· 1 shared E. Griswold· 1 shared E. Michael· 1 shared F. O. Richards· 1 shared J. Danyobi· 1 shared J. Kadimbo· 1 shared J. Umaru· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperEcology

A. Eigege

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1 paper

Recent·Most cited

Predicting lymphatic filariasis elimination in data-limited settings: a reconstructive computational framework for combining data generation and model discovery

M. E. Smith, E. Griswold, B. K. Singh, E. Miri, A. Eigege, S. Adelamo, J. Umaru, K. Nwodu, Y. Sambo, J. Kadimbo, J. Danyobi, F. O. Richards, E. Michael

This paper develops a computational framework that combines data generation and model discovery to predict lymphatic filariasis elimination in data-limited settings, showing it can identify local transmission models and forecast intervention impacts.

PLOS Computational Biology · Jul 21, 2020Peer-reviewedEcology