Author

Michael H. Liew

Johns Hopkins University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Alec G. Cabalinan· 1 shared Alina C. SpiegeliD· 1 shared Austin E. Coye· 1 shared Calla Gentilucci· 1 shared Chanel J. Matney· 1 shared Cheng‐Rong YuiD· 1 shared Eva M. Schulteis· 1 shared Guangpu ShiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Alec G. Cabalinan

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2 papers

Recent·Most cited

IAN: An Intelligent System for Omics Data Analysis and Discovery

Vijayaraj Nagarajan, Reiko Horai, Guangpu Shi, Cheng‐Rong Yu, Jaanam Gopalakrishnan, Manoj Kumar Yadav, Michael H. Liew, Calla Gentilucci, Rachel R Caspi

IAN is an R package that integrates and interprets omics data using a multi-agent AI system with LLMs, demonstrating its ability to avoid hallucination and support biological discovery.

Cell Reports Methods · Jun 16, 2026Peer-reviewedBioinformatics

A consensus definition for deep layer 6 excitatory neurons in mouse neocortex

Su-Jeong Kim, Travis A. Babola, Kiwoong Lee, Alina C. Spiegel, Kihwan Lee, Chanel J. Matney, Michael H. Liew, Eva M. Schulteis, Austin E. Coye, Mikhail Proskurin, Hyun‐Wook Kang, J Kim, Maxime Chevée, Juhyun Lee, Alec G. Cabalinan, , Solange Pezon Brown

The paper defines deep layer 6 excitatory neurons in mouse neocortex by comparing molecular, transcriptional, morphological, and transgenic approaches, identifying a core population with distinct connectivity and developmental properties.

Cell Reports · Aug 21, 2025Peer-reviewedNeuroscience