Author

Farnaz Mohammadi

University of California, Los AngelesORCID 0000-0002-0197-4670Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

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Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Aaron S. MeyeriD· 1 shared J. C. LagardeiD· 1 shared Laura M. HeiseriD· 1 shared Luka KarginoviD· 1 shared Sean M. GrossiD· 1 shared Shakthi VisaganiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperSystems Biology

Aaron S. MeyerORCID

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1 paper

Recent·Most cited

A lineage tree-based hidden Markov model to quantify cellular heterogeneity and plasticity

Farnaz Mohammadi, Shakthi Visagan, Sean M. Gross, Luka Karginov, J. C. Lagarde, Laura M. Heiser, Aaron S. Meyer

This paper introduces a lineage tree-based hidden Markov model to quantify cellular heterogeneity and plasticity using single-cell lineage data, showing it can classify distinct phenotypic states and drug responses in cancer and non-cancer cell populations.

bioRxiv · Jun 25, 2021 · PreprintSystems Biology