Author

Razan M. Alajoleen

Virginia TechORCID 0000-0003-4623-9167Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Approach:statistical model· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Bastiaan O. R. BargmanniD· 2 shared Song LiiD· 2 shared Tran N. ChauiD· 2 shared Joel Shuman· 1 shared John SchiefelbeiniD· 1 shared Kook Hui RyuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Bastiaan O. R. BargmannORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 1, 2026

Single nucleus transcriptome analysis of Arabidopsis thaliana roots infected with Phytophthora. capsici

Razan M. Alajoleen, Tran N Chau, Joel Shuman…·Song Li

The paper uses snRNA-seq to analyze Arabidopsis root cell responses to P. capsici infection, identifying transcriptional changes and hormone-related pathways in different cell types.

DOI 10.64898/2026.04.28.720150

ArabidopsissnRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 26, 2025

scCoBench: Benchmarking single cell RNA-seq co-expression using promoter-reporter lines

Tran N. Chau, Kook Hui Ryu, Razan M. Alajoleen…·Song Li

scCoBench benchmarks co-expression methods in scRNA-seq using promoter-reporter lines, showing imputation improves correlation and biological relevance.

2 citations

scRNA-seqstatistical model

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