Author

I. Lone

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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Biophysics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Organism:Drosophila· 1

Frequent Co-Authors

C. Trindle· 1 shared P. M. Jan· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

2 top collaborators · 0 mutual co-author links

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1 shared paperBiophysics

C. Trindle

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2 papers

Recent·Most cited

PathologybioRxivPreprintMar 8, 2023

COVID-19 as a continuous-time stochastic process

I. Lone, P. M. Jan

The paper models COVID-19 as a continuous-time stochastic process to analyze extinction chances and outbreak patterns without considering immune individuals.

DOI 10.1101/2023.03.08.531718

statistical model

𝕏 PostBluesky

BiophysicsbioRxivPreprintMar 1, 2023

A quantum walk model of Bicoid morphogen formation and interpretation

I. Lone, C. Trindle

This paper uses a quantum walk model to explain Bicoid morphogen gradient formation and interpretation in fruit flies, showing how positional information is decoded with high precision.

DOI 10.1101/2023.03.01.530663

Drosophiladeep learning

𝕏 PostBluesky