Author

Jubair Ibn Malik Rifat

University of North TexasORCID 0009-0007-4838-5711Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Approach:graph neural network· 1 Organism:mouse· 1

Frequent Co-Authors

Serdar BozdagiD· 2 shared Bizhan Alipour PijaniiD· 1 shared Sarthak Engala· 1 shared the Alzheimer’s Disease Neuroimaging Initiative· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Serdar BozdagORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 2, 2026

MultiGEOmics: Graph-Based Integration of Multi-Omics via Biological Information Flows

Bizhan Alipour Pijani, Jubair Ibn Malik Rifat, Serdar Bozdag, the Alzheimer’s Disease Neuroimaging Initiative

MultiGEOmics integrates multi-omics data using graph-based methods to model cross-omics regulatory signals and handle missing data, showing strong performance across cancer and Alzheimer's datasets.

1 citation

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintJan 27, 2026

scAURA: Alignment- and Uniformity-based Graph DebiasedContrastive Representation Architecture for Self-SupervisedClustering of Single-Cell Transcriptomics

Jubair Ibn Malik Rifat, Sarthak Engala, Serdar Bozdag

scAURA improves cell type clustering in scRNA-seq by integrating graph debiased contrastive learning, outperforming existing methods across multiple datasets.

DOI 10.64898/2026.01.25.701579

humanmouse

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