Author

M. Togninalli

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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Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Chang· 1 shared A. Kirillova· 1 shared A. T. V. Ho· 1 shared C. A. Holbrook· 1 shared C. M. Madl· 1 shared H. Blau· 1 shared J. Aldahdooh· 1 shared J. TangiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperCell Biology

A. Chang

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Author profile →

2 papers

Recent·Most cited

Machine learning-based classification of binary dynamic fluorescence signals reveals muscle stem cell fate transitions in response to pro-regenerative niche factors

M. Togninalli, A. T. V. Ho, C. M. Madl, C. A. Holbrook, Y. X. Wang, K. E. G. Magnusson, A. Kirillova, A. Chang, H. Blau

This study uses machine learning to analyze dynamic fluorescence signals and classify muscle stem cell fate transitions in response to niche factors like PGE2 and OSM.

bioRxiv · Jun 17, 2022 · PreprintCell Biology

RNA Atlas of Human Bacterial Pathogens Uncovers Stress Dynamics Linked to Infection

K. Avican, J. Aldahdooh, M. Togninalli, J. Tang, K. M. Borgwardt, M. Rhen, M. Fallman

The paper constructs an RNA atlas of human bacterial pathogens under stress conditions, revealing common and unique stress responses and identifying novel non-coding RNAs.

bioRxiv · Jun 29, 2020Microbiology