Author

Alexis J. Chambost

Lyon 1 Université

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Ahmed IdbaïhiD· 1 shared Caroline IsaaciD· 1 shared David MeyronetiD· 1 shared David RousseauiD· 1 shared François DucrayiD· 1 shared Mathieu GabutiD· 1 shared Nabila Berabez· 1 shared Olivier Cochet‐EscartiniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Ahmed IdbaïhORCID

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1 paper

Recent·Most cited

Machine learning-based detection of label-free cancer stem-like cell fate

Alexis J. Chambost, Nabila Berabez, Olivier Cochet‐Escartin, François Ducray, Mathieu Gabut, Caroline Isaac, Sylvie Martel, Ahmed Idbaïh, David Rousseau, David Meyronet, Sylvain Monnier

This study develops a deep learning algorithm for analyzing label-free brightfield microscopy images to detect cancer stem-like cell fate, showing improved accuracy and speed compared to other methods.

Scientific Reports · Nov 9, 2022Peer-reviewedBioinformatics