Author

Yaser Daanial Khan

University of Management and TechnologyORCID 0000-0002-2482-275XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Ahmad Hassan ButtiD· 1 shared Asma EhsaniD· 1 shared Muhammad Khalid MahmoodiD· 1 shared S. IqbaliD· 1 shared Salem AlkhalafiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Ahmad Hassan ButtORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 3, 2020

iHyd-ProSite: A novel Computational Approach for Identifying Hydroxylation Sites in Proline Via Mathematical Modeling

Muhammad Khalid Mahmood, Asma Ehsan, Yaser Daanial Khan

This paper introduces a computational predictor for identifying hydroxylation sites in proline residues using mathematical modeling and validates its accuracy through multiple tests.

6 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 20, 2020

EnhancerP-2L: A Gene regulatory site identification tool for DNA enhancer region using CREs motifs

Ahmad Hassan Butt, Salem Alkhalaf, S. Iqbal, Yaser Daanial Khan

This study introduces EnhancerP-2L, a tool for identifying DNA enhancer regions using CREs motifs and statistical moment-based features, achieving better accuracy than existing methods.

10 citations

DNA methylationstatistical model

𝕏 PostBluesky