Author

E. Ferrante

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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Plant Biology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:deep learning· 2 Organism:Arabidopsis· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Organism:plant (other)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

M. Crespi· 2 shared N. Gaggion· 2 shared T. Blein· 2 shared A. Amaismeier· 1 shared A. Barrios· 1 shared A. Camoirano· 1 shared A. K. Powers· 1 shared B. Martineau· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersPlant Biology

M. Crespi

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Author profile →

3 papers

Recent·Most cited

The transcription factor NF-YA10 determines the area explored by Arabidopsis thaliana roots through direct regulation of LAZY and TAC genes

A. Barrios, N. Gaggion, N. Mansilla, L. Lucero, T. Blein, C. Sorin, E. Ferrante, M. Crespi, F. D. Ariel

This study identifies NF-YA10 as a transcription factor regulating lateral root gravitropism and root system architecture in Arabidopsis thaliana by modulating LAZY and TAC gene expression.

bioRxiv · Apr 26, 2023 · PreprintPlant Biology

Genetic mapping of craniofacial traits in the Mexican tetra reveals loci associated with bite differences between cave and surface fish

A. K. Powers, C. Hyacinthe, M. Riddle, Y. K. Kim, A. Amaismeier, K. Thiel, B. Martineau, E. Ferrante, R. Moran, S. McGaugh, T. Boggs, J. B. Gross, C. E. Tabin

This study maps genetic loci associated with bite differences in Mexican tetra cavefish using QTL analysis of F2 hybrids.

bioRxiv · Nov 23, 2022Evolutionary Biology

ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture

N. Gaggion, F. Ariel, V. Daric, E. Lambert, S. Legendre, T. Roule, A. Camoirano, D. H. Milone, M. Crespi, T. Blein, E. Ferrante

ChronoRoot uses deep segmentation networks and 3D-printed hardware to enable high-temporal-resolution root phenotyping, revealing new time-related root growth parameters.

bioRxiv · Oct 27, 2020Plant Biology