Author

Paula J. Bice

Indiana University IndianapolisORCID 0000-0001-5357-9966Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Andrew J. SaykiniD· 3 shared Kwangsik T. NhoiD· 3 shared Taeho JoiD· 2 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Alzheimer's Disease Sequencing Project· 1 shared David A. Bennett· 1 shared Dongjun ChungiD· 1 shared Minyoung ChoiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Andrew J. SaykinORCID

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3 papers

Recent·Most cited

Multi-Omics Analysis for Identifying Cell-Type-Specific Druggable Targets in Alzheimer's Disease

Shiwei Liu, Minyoung Cho, Yen-Ning Huang, Tamina Park, Soumilee Chaudhuri, Thea Jacobson Rosewood, Paula J. Bice, Dongjun Chung, David A. Bennett, Nilüfer Ertekin‐Taner, Andrew J. Saykin, Kwangsik T. Nho

This study identifies cell-type-specific druggable targets in Alzheimer's disease by integrating GWAS and eQTL data across multiple cell types and datasets.

medRxiv · Jan 8, 2025 · PreprintGenetic & Genomic Medicine

LD-informed deep learning for Alzheimer's gene loci detection using WGS data

Taeho Jo, Paula J. Bice, Kwangsik T. Nho, Andrew J. Saykin, Alzheimer's Disease Sequencing Project

Deep-Block identifies AD-associated genetic loci using WGS data from ADSP, confirming known variants and discovering novel SNPs within top LD blocks.

Alzheimer s & Dementia Translational Research & Clinical Interventions · Jan 1, 2025Peer-reviewedGenetic & Genomic Medicine

Deep learning-based identification of genetic variants: Application to Alzheimer's disease classification

Taeho Jo, Kwangsik T. Nho, Paula J. Bice, Andrew J. Saykin, Alzheimer’s Disease Neuroimaging Initiative

The paper introduces SWAT-CNN, a deep learning method for identifying AD-associated SNPs and developing a classification model, achieving an AUC of 0.82.

Briefings in Bioinformatics · Feb 10, 2022Peer-reviewedGenetic & Genomic Medicine