Author

Robert Azencott

University of HoustonORCID 0000-0002-3541-7768Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Organism:E. coli· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Andreas MangiD· 1 shared Ayse Aslihan KoksoyiD· 1 shared Fabio StossiiD· 1 shared Hannah Johnson L· 1 shared James J. WinkleiD· 1 shared Krešimir Josić́iD· 1 shared Matthew R. BennettiD· 1 shared Michael Mancini A· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Andreas MangORCID

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2 papers

Recent·Most cited

Analysis and Modeling of Early Estradiol-induced GREB1 Single Allele Gene Transcription at the Population Level

S. Mahmood Ghasemi, Pankaj Singh K, Hannah Johnson L, Ayse Aslihan Koksoy, Michael Mancini A, Fabio Stossi, Robert Azencott

The paper quantifies and models allelic transcription dynamics of GREB1 in response to estradiol using smFISH and statistical methods.

Journal of Bioinformatics and Systems Biology · Jan 1, 2024Peer-reviewedBioinformatics

Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies

Sorena Sarmadi, James J. Winkle, Razan N. Alnahhas, Matthew R. Bennett, Krešimir Josić́, Andreas Mang, Robert Azencott

This paper introduces a stochastic neural network method for tracking bacterial cell motion in microscopy sequences, achieving high registration accuracy in both simulated and experimental data.

Mathematical and Computational Applications · Mar 2, 2022Peer-reviewedBioinformatics