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Generative AI-assisted Bayesian-frequentist Hybrid Inference in Single-cell RNA Sequencing Analysis for Genes Associated with Alzheimer’s Disease

2026-04-20

Abstract excerpt

Alzheimer’s disease genomics and other high-dimensional omics studies demand powerful statistical methods, yet Bayesian inference remains underutilized despite its advantages in small-sample settings, owing to the prohibitive cost of eliciting reliable priors across thousands or millions of parameters. We propose an AI-assisted Bayesian–frequentist hybrid inference framework that couples large language model based...

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Literature Corpus work
624cc362-00f6-5420-a4b1-e0452ff77745
DOI
10.64898/2026.04.17.26351142
Open publication

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Generative AI-assisted Bayesian-frequentist Hybrid Inference in Single-cell RNA Sequencing Analysis for Genes Associated with Alzheimer’s DiseaseDOI 10.64898/2026.04.17.26351142
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