Author

Haonan Zhu

Lawrence Livermore National LaboratoryORCID 0000-0002-4239-4824Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:metagenomics· 2 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

André Ricardo GonçalvesiD· 2 shared Boya ZhangiD· 2 shared Camilo ValdesiD· 2 shared Car Reen KokiD· 2 shared Crystal J. JaingiD· 2 shared Hiranmayi Ranganathan· 2 shared James B. ThisseniD· 2 shared Jose Manuel MartíiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

André Ricardo GonçalvesORCID

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2 papers

Recent·Most cited

An Embeddings Fusion Approach Predicts Disease State from Microbiome Features

Camilo Valdes, André Ricardo Gonçalves, Haonan Zhu, Boya Zhang, Hiranmayi Ranganathan, James B. Thissen, Jose Manuel Martí, Car Reen Kok, Nisha Mulakken, Crystal J. Jaing, Nicholas A. Be

The paper introduces an embeddings fusion approach to predict disease state from microbiome features using visual representations of taxonomic data, achieving high classification accuracy across multiple factors.

bioRxiv · Apr 23, 2026 · PreprintBioinformatics

Beyond Microbial Abundance: Metadata Integration Enhances Disease Prediction in Human Microbiome Studies

André Ricardo Gonçalves, Hiranmayi Ranganathan, Camilo Valdes, Haonan Zhu, Boya Zhang, Car Reen Kok, Jose Manuel Martí, Nisha Mulakken, James B. Thissen, Crystal J. Jaing, Nicholas A. Be

This study integrates host and sample metadata with microbiome abundance profiles to improve disease prediction models using machine learning.

Frontiers in Microbiology · Jan 21, 2026Peer-reviewedMicrobiology