Author

Jiahao Guo

University of HoustonORCID 0000-0002-2424-6983Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:clustering· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Kevin E. BassleriD· 2 shared Alexander B. KuniniD· 1 shared Biswajyoti SahuiD· 1 shared Caroline Sophie VerbekeiD· 1 shared Celina Wiik· 1 shared Chi Xu· 1 shared Emma Maria HaapaniemiiD· 1 shared Eve Syrkin WurteleiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersNeuroscience

Kevin E. BasslerORCID

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3 papers

Recent·Most cited

NFATC2 in pancreatic cancer-associated fibroblasts predicts treatment response and facilitates ERBB-targeted therapies

JIAHAO GUO, Samuele Cancellieri, Chi Xu, Celina Wiik, Liangru Fei, Shiva Dahal‐Koirala, Emma Maria Haapaniemi, Tero A. Aittokallio, Caroline Sophie Verbeke, Biswajyoti Sahu

The paper identifies NFATC2-expressing cancer-associated fibroblasts in PDAC that improve treatment response and enhance ERBB-targeted therapies.

bioRxiv · Apr 8, 2026 · PreprintCancer Biology

Hierarchical Modular Structure of the Drosophila Connectome

Alexander B. Kunin, Jiahao Guo, Kevin E. Bassler, Xaq Pitkow, Krešimir Josić́

The paper analyzes the hierarchical modular structure of the Drosophila connectome using community detection methods to identify organization across scales.

Journal of Neuroscience · Aug 17, 2023Peer-reviewedNeuroscience

Accuracy of functional gene community detection in Saccharomyces cerevisiae by maximizing Generalized Modularity Density

Pramesh Singh, Jiahao Guo, Jing Li, Urminder Singh, Eve Syrkin Wurtele, Kevin E. Bassler

The paper compares twelve methods for inferring gene co-expression networks and identifying functional communities in yeast, finding that CLR followed by Generalized Modularity Density clustering performs best.

bioRxiv · Dec 28, 2022 · PreprintSystems Biology