Author

Masoud Mahdavifar

Amirkabir University of Technology

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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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Tara Iranpourtari· 1 shared Zahra Mohammadifar· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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1 shared paperGenomics

Tara Iranpourtari

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1 paper

Recent·Most cited

Trajectory Uncertainty Framework (TUF): A Modular Framework for Identifying Transitional and Branch-Point Cell States in Single-Cell Trajectory Analysis

Masoud Mahdavifar, Zahra Mohammadifar, Tara Iranpourtari

The paper introduces TUF, a framework to quantify uncertainty in single-cell trajectory analysis, identifying transitional and branch-point cell states across multiple datasets.

bioRxiv · Aug 5, 2026 · PreprintGenomics