Author

Fadi N. Sibai

Gulf University for Science & TechnologyORCID 0000-0002-9677-8911Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Abu S. AsaduzzamaniD· 1 shared Christian C. ThompsoniD· 1 shared Md. Jashim UddiniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperGenomics

Abu S. AsaduzzamanORCID

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1 paper

Recent·Most cited

Using The Cancer Genome Atlas from cBioPortal to Develop Genomic Datasets for Machine Learning Assisted Cancer Treatment

Abu S. Asaduzzaman, Christian C. Thompson, Fadi N. Sibai, Md. Jashim Uddin

The paper develops genomic and non-genomic datasets from TCGA to predict PolyPhen and SIFT scores using machine learning models, finding genomic data provides more accurate predictions.

bioRxiv · Feb 17, 2025 · PreprintGenomics