Author

Shamima Akter

ORCID 0000-0001-9119-5197Unclaimed ORCID profile · follow to get notified of new preprints

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Shamima Akter1 paper · Agricultural Research Service

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Bioinformatics· 1

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Organism:Arabidopsis· 1 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

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Ji‐Young LeeiD· 1 shared Qi SongiD· 1 shared Ruth GreneiD· 1 shared Song LiiD· 1 shared

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2019-2019 · peak 1/yr

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Ji‐Young LeeORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 1, 2019

Prediction of condition-specific regulatory maps in Arabidopsis using integrated genomic data

Qi Song, Ji‐Young Lee, Shamima Akter…·Song Li

This study develops ConSReg to predict condition-specific gene regulatory networks in Arabidopsis using genomic data, showing improved performance with ATAC-seq and identifying key regulators in root cell types.

1 citation

ArabidopsisATAC-seq

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