Author

Milad Mostavi

The University of Texas at San Antonio

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

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Yufei HuangiD· 2 shared Jianqiu ZhangiD· 1 shared Sirajul Salekin· 1 shared Yidong CheniD· 1 shared Yu‐Chiao ChiuiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Yufei HuangORCID

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2 papers

Recent·Most cited

Predicting sites of epitranscriptome modifications using unsupervised representation learning based on generative adversarial networks

Sirajul Salekin, Milad Mostavi, Yu‐Chiao Chiu, Yidong Chen, Jianqiu Zhang, Yufei Huang

The paper introduces MR-GAN, a GAN-based model for predicting epitranscriptome modification sites using unsupervised learning, showing significant improvement over one-hot encoding and SRAMP.

Frontiers in Physics · Jun 19, 2020Peer-reviewedBioinformatics

Machine Learning and Deep Learning challenges for building 2'O site prediction

Milad Mostavi, Yufei Huang

The paper evaluates ML and DL models for predicting 2'O methylation sites, finding that embedding methods benefit ML but not DL, and identifies key nucleotides around 2'O sites.

bioRxiv · May 10, 2020 · PreprintBioinformatics