Author

Muhtasim Noor Alif

University of Central FloridaORCID 0009-0008-0254-3638Unclaimed ORCID profile · follow to get notified of new preprints

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Muhtasim Noor Alif1 paper · UNIVERSITY OF CENTRAL FLORIDA;

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Organism:human· 1 Assay:multiome· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Wei ZhangiD· 2 shared Abrar Rahman AbiriD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersGenomics

Wei ZhangORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintOct 2, 2026

ST-DISTAL: Dual-Branch Graph Convolution with Distributional Alignment for Cell-Type Deconvolution

Abrar Rahman Abir, Muhtasim Noor Alif, Wei Zhang

ST-DISTAL improves cell-type deconvolution in spatial transcriptomics by integrating spatial and molecular information through a dual-branch graph convolutional framework.

DOI 10.64898/2026.09.27.754868

humanspatial transcriptomics

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BioinformaticsBriefings in BioinformaticsPeer-reviewedNov 1, 2025

SynOmics: Integrating Multi-omics Data Through Feature Interaction Networks

Muhtasim Noor Alif, Wei Zhang

SynOmics improves multi-omics integration by modeling feature interactions through a graph convolutional network, outperforming existing methods in biomedical classification tasks.

10 citations

multiomegraph neural network

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