Author

Lekha Shah

University of TrentoORCID 0000-0001-5533-0988Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1 Approach:machine learning (classical)· 1

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Annalisa TirellaiD· 1 shared Valentina BreschiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioengineering

Annalisa TirellaORCID

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1 paper

Recent·Most cited

BioengineeringbioRxivPreprintMar 21, 2025

A data-informed approach for engineering in-vitro experiment design to decipher key features of invasive breast cancer cell phenotypes

Lekha Shah, Valentina Breschi, Annalisa Tirella

The paper introduces a machine learning approach to analyze high-dimensional data from micro-physiological systems to identify key markers distinguishing invasive from non-invasive breast cancer cell phenotypes.

DOI 10.1101/2025.03.21.643499

humanbulk RNA-seq

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