Author

Fatemeh Mahdavi Sabet

Tehran University of Medical SciencesORCID 0009-0007-4589-9688Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Amirhossein ShahsavandiD· 1 shared Saba Akbarzadeh· 1 shared Shayan ForghaniiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Amirhossein ShahsavandORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 29, 2026

Ground-truth evaluation of sparse autoencoder features on spatial, single-cell and language-model embeddings

Amirhossein Shahsavand, Shayan Forghani, Saba Akbarzadeh, Fatemeh Mahdavi Sabet

The paper evaluates sparse autoencoder features on various embeddings, finding that reproducibility does not guarantee meaningfulness, and proposes reporting features with concept coverage and purity.

DOI 10.64898/2026.10.27.762296

humanspatial transcriptomics

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