Author

Taslim Murad

Georgia State UniversityORCID 0000-0001-6434-3297Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:machine learning (classical)· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

Murray PattersoniD· 2 shared Prakash ChourasiaiD· 2 shared Sarwan AliiD· 2 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Murray PattersonORCID

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2 papers

Recent·Most cited

BioinformaticsCommunications in computer and information sciencePeer-reviewedJan 1, 2025

Advancing Protein-DNA Binding Site Prediction: Integrating Sequence Models and Machine Learning Classifiers

Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson

This study develops a model combining protein language models and machine learning classifiers to predict protein-DNA binding sites, showing improved performance on benchmark datasets.

7 citationstop 1%

DNA methylationproteomics

𝕏 PostBluesky

BioinformaticsLecture notes in computer sciencePeer-reviewedJan 1, 2023

Enhancing t-SNE Performance for Biological Sequencing Data through Kernel Selection

Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson

This paper evaluates different kernels for t-SNE to improve its performance on biological sequencing data, finding that the cosine similarity kernel provides the best results for SARS-CoV-2 spike protein sequences.

5 citations

virusproteomics

𝕏 PostBluesky