Author

Ai‐Ling Lin

University of KentuckyORCID 0000-0002-5197-2219Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Organism:human· 1 Assay:imaging· 1 Assay:metagenomics· 1

Frequent Co-Authors

Aaron C. EricssoniD· 1 shared Carter WoodsiD· 1 shared Gongbo LiangiD· 1 shared Liangliang LiuiD· 1 shared Nathan BresetteiD· 1 shared Nathan JacobsiD· 1 shared Qi Ying· 1 shared Xin XingiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperMicrobiology

Aaron C. EricssonORCID

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2 papers

Recent·Most cited

MicrobiologymSystemsPeer-reviewedJun 29, 2026

MeLSI: Metric Learning for Statistical Inference in Microbiome Community Composition Analysis

Nathan Bresette, Aaron C. Ericsson, Carter Woods, Ai‐Ling Lin

MeLSI learns data-adaptive distance metrics for microbiome community composition analysis, improving detection of biologically meaningful differences compared to fixed metrics.

DOI 10.1128/msystems.00407-26

metagenomicsdeep learning

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NeuroscienceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Peer-reviewedNov 1, 2021

Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features

Qi Ying, Xin Xing, Liangliang Liu…·Gongbo Liang

This paper develops a multi-modal neural network for Alzheimer's disease diagnosis using MRI and SNPs, achieving 93.5% AUC and 96.1% AP on the ADNI dataset.

27 citationstop 2%

humanbulk RNA-seq

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