Author

Habiba Abdelhalim

Rutgers, The State University of New JerseyORCID 0009-0000-4477-353XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 4 Organism:human· 4 Assay:bulk RNA-seq· 3 Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Approach:machine learning (classical)· 2 Assay:whole-genome sequencing· 2

Frequent Co-Authors

Zeeshan AhmediD· 4 shared Saman ZeeshaniD· 3 shared William DeGroatiD· 3 shared Bruce T. LiangiD· 2 shared Dinesh MendheiD· 2 shared Achuth Suresh NairiD· 1 shared Anirudh Pappu· 1 shared Elizabeth Peker· 1 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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4 shared papersGenomics

Zeeshan AhmedORCID

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4 papers

Recent·Most cited

GenomicsScientific ReportsPeer-reviewedNov 3, 2024

Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases

William DeGroat, Habiba Abdelhalim, Elizabeth Peker…·Zeeshan Ahmed

The paper develops a multimodal AI/ML framework to identify biomarkers and predict cardiovascular disease using multi-omics data, finding a 27-component signature with high predictive accuracy.

82 citationstop 1%

humanbulk RNA-seq

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GenomicsScientific ReportsPeer-reviewedJan 2, 2024

Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine

William DeGroat, Habiba Abdelhalim, Kush Patel…·Zeeshan Ahmed

This study identifies 18 significant transcriptomic biomarkers for cardiovascular disease with 96% accuracy using a combination of statistical tests and machine learning classifiers.

859 citationstop 1%

humanbulk RNA-seq

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GenomicsClinical and Translational DiscoveryPeer-reviewedMay 30, 2023

Investigating variant and expression of CVD genes associated phenotypes among high-risk Heart Failure patients

Zeeshan Ahmed, Saman Zeeshan, Nicholas Persaud…·Bruce T. Liang

The paper integrates gene expression, genetic variants, and clinical data from high-risk Heart Failure patients to identify differentially expressed genes and functionally relevant mutations associated with CVD.

7 citations

humanwhole-genome sequencing

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BioinformaticsDatabasePeer-reviewedJan 1, 2023

Integrated ACMG approved genes and ICD codes for the translational research and precision medicine

Raghunandan Wable, Achuth Suresh Nair, Anirudh Pappu…·Zeeshan Ahmed

The paper develops a gene-disease-code database linking ICD codes with ACMG-approved genes to support genomic and clinical data integration for precision medicine.

3 citations

humanGWAS summary statistics

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