Author

Hind Rafei

The University of Texas MD Anderson Cancer CenterORCID 0000-0002-5724-4183Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:large language model· 1 Approach:statistical model· 1

Frequent Co-Authors

Katayoun RezvaniiD· 2 shared Ken CheniD· 2 shared Matthew M. GubiniD· 2 shared Shan HeiD· 2 shared Vakul MohantyiD· 2 shared Weiyi PengiD· 2 shared Yukun TaniD· 2 shared Cara L. HaymakeriD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Katayoun RezvaniORCID

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2 papers

Recent·Most cited

Literature-scaled immunological gene set annotation using AI-powered immune cell knowledge graph (ICKG)

Shan He, Yukun Tan, Qing Ye, Matthew M. Gubin, Hind Rafei, Weiyi Peng, Katayoun Rezvani, Vakul Mohanty, Ken Chen

The paper constructs an immune cell knowledge graph (ICKG) using AI to annotate immunological gene sets more accurately than existing methods.

bioRxiv · Feb 19, 2025 · PreprintBioinformatics

Elucidating immune-related gene transcriptional programs via factorization of large-scale RNA-profiles

Shan He, Matthew M. Gubin, Hind Rafei, Rafet Başar, Merve Dede, Xianli Jiang, Qingnan Liang, Yukun Tan, Kun Hee Kim, Maura L. Gillison, Katayoun Rezvani, Weiyi Peng, Cara L. Haymaker, Sharia D. Hernandez, Luisa Maren Solis, , Ken Chen

The paper constructs immune-specific gene sets using non-negative matrix factorization on bulk RNA-seq data to improve immune subtype analysis and ICB response prediction.

iScience · May 23, 2024Peer-reviewedBioinformatics