Author

Abdullah Al Mamun

Florida International University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:database / resource· 1 Approach:statistical model· 1

Frequent Co-Authors

Ananda Mohan MondaliD· 2 shared Masrur SobhaniD· 2 shared Raihanul Bari Tanvir· 2 shared Giri NarasimhaniD· 1 shared Gregory E. HoltiD· 1 shared Kalai MatheeiD· 1 shared Ricardo Ruiz· 1 shared Samuel Ebert· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersBioinformatics

Ananda Mohan MondalORCID

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2 papers

Recent·Most cited

Quantifying Intratumor Heterogeneity by Key Genes Selected Using Concrete Autoencoder

Raihanul Bari Tanvir, Ricardo Ruiz, Samuel Ebert, Masrur Sobhan, Abdullah Al Mamun, Ananda Mohan Mondal

The paper develops a deep learning framework using Concrete Autoencoder to identify key genes for quantifying intratumor heterogeneity, showing that a subset of genes suffices for accurate ITH scoring.

Lecture notes in computer science · Jan 1, 2023Peer-reviewedBioinformatics

Multi-run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers

Abdullah Al Mamun, Raihanul Bari Tanvir, Masrur Sobhan, Kalai Mathee, Giri Narasimhan, Gregory E. Holt, Ananda Mohan Mondal

This paper introduces a multi-run Concrete Autoencoder (mrCAE) to identify prognostic lncRNAs across 12 cancers, achieving 95% accuracy in cancer classification and identifying 76 prognostic lncRNAs.

International Journal of Molecular Sciences · Nov 3, 2021Peer-reviewedBioinformatics