Author

Ruhul Amin

United International UniversityORCID 0009-0003-6664-5311Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Ruhul Amin1 paper · University of Illinois Chicago

Biology Disciplines

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:plant (other)· 1

Frequent Co-Authors

Chowdhury Rafeed RahmaniD· 2 shared Swakkhar ShatabdaiD· 2 shared Md Moshiur RahmaniD· 1 shared Md Nazmul Khan Liton· 1 shared Md Zahid Hossain Khan· 1 shared Md. Habibur Rahman SifatiD· 1 shared Md. Sadrul Islam ToahaiD· 1 shared Sajid AhmediD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 23 mutual co-author links

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2 shared papersGenomics

Chowdhury Rafeed RahmanORCID

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2 papers

Recent·Most cited

GenomicsScientific ReportsPeer-reviewedMay 14, 2021

A Convolution Based Computational Approach Towards DNA N6-methyladenine Site Identification and Motif Extraction in Rice Genome

Chowdhury Rafeed Rahman, Ruhul Amin, Swakkhar Shatabda, Md. Sadrul Islam Toaha

The paper develops a CNN-based tool to identify 6mA sites in rice genomes and shows it generalizes to other plant genomes.

17 citations

plant (other)DNA methylation

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GenomicsBioinformaticsPeer-reviewedJun 24, 2020

iPromoter-BnCNN: a novel branched CNN based predictor for identifying and classifying sigma promoters

Ruhul Amin, Chowdhury Rafeed Rahman, Sajid Ahmed…·Swakkhar Shatabda

The paper introduces iPromoter-BnCNN, a branched CNN model for identifying and classifying six types of sigma promoters, showing superior performance on benchmark and independent test datasets.

61 citations

DNA methylationwhole-genome sequencing

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