Author

Fatemeh Alipour

Agency for Science, Technology and ResearchORCID 0000-0002-9413-3538Unclaimed 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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Research Focus:clustering· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Bobby RanjaniD· 1 shared Ee Tzun KohiD· 1 shared Florian SchmidtiD· 1 shared Ignasius JoanitoiD· 1 shared Jacy Mei Yun Yong· 1 shared Jinyu Park· 1 shared Kathleen Allen HilliD· 1 shared Khai Pang LeongiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Bobby RanjanORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedJan 21, 2022

DeLUCS: Deep Learning for Unsupervised Clustering of DNA Sequences

Pablo Millán Arias, Fatemeh Alipour, Kathleen Allen Hill, Lila Kari A

DeLUCS clusters DNA sequences without alignment or homology, achieving high accuracy on diverse datasets and outperforming traditional methods.

53 citationstop 5%

DNA methylationwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedOct 6, 2021

DUBStepR: correlation-based feature selection for clustering single-cell RNA sequencing data

Bobby Ranjan, Wenjie Sun, Jinyu Park…·Shyam Prabhakar

DUBStepR improves single-cell clustering by selecting features using gene-gene correlations and a Density Index, outperforming existing methods and detecting rare cell populations.

82 citationstop 4%

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