Author

S. Vaidya

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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Microbiology· 2 Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

E. Jelli· 2 shared F. Diaz-Pascual· 2 shared H. Jeckel· 2 shared K. Drescher· 2 shared A. Burford· 1 shared A. Carai· 1 shared A. Dragos· 1 shared A. Mackay· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMicrobiology

E. Jelli

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Multispecies phase diagram of biofilm architectures reveals biophysical principles of biofilm development

H. Jeckel, F. Diaz-Pascual, D. J. Skinner, B. Song, E. Jimenez Siebert, E. Jelli, S. Vaidya, J. Dunkel, K. Drescher

The paper identifies two control parameters, cellular aspect ratio and cell density, that determine biofilm architecture across four bacterial species through experiments, simulations, and statistical analysis.

bioRxiv · Aug 6, 2021 · PreprintMicrobiology

Drug screening linked to molecular profiling identifies novel dependencies in patient-derived primary cultures of paediatric high grade glioma and DIPG

D. Carvalho, S. Temelso, A. Mackay, H. Pemberton, R. Rogers, K. Kessler, E. Izquierdo, L. Bjerke, J. Fazal-Salom, M. Clarke, Y. Grabovska, A. Burford, N. Gene-Olaciregui, J. Boult, V. Molinari, , Hubank

bioRxiv · Dec 29, 2020 · PreprintCancer Biology

BiofilmQ, a software tool for quantitative image analysis of microbial biofilm communities

R. Hartmann, H. Jeckel, E. Jelli, P. K. Singh, S. Vaidya, M. Bayer, L. Vidakovic, F. Diaz-Pascual, J. C. N. Fong, A. Dragos, O. Besharova, C. D. Nadell, V. Sourjik, A. T. Kovacs, F. H. Yildiz, K. Drescher

BiofilmQ is a software tool that enables automated, high-throughput quantitative analysis of 3D and 2D microbial biofilm communities through image cytometry.

bioRxiv · Aug 15, 2019Microbiology

Ontogeny and expression profiles of steroid hormone receptors in a mouse model of endometriosis

A. Mishra, M. Galvankar, N. Singh, S. Vaidya, U. Chaudhari, D. Modi

This study examines the ontogeny and expression patterns of steroid hormone receptors in a mouse model of endometriosis, finding heterogeneous receptor expression that may impact therapeutic effectiveness.

bioRxiv · Mar 25, 2019Pathology