Author

Liqian Ma

AbbVie (United States)ORCID 0000-0002-0264-9263Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Adam T. NelczykiD· 1 shared Amar Gopal ChittiboyinaiD· 1 shared Anasuya Das GuptaiD· 1 shared C Chen· 1 shared Claire P. SchaneiD· 1 shared Dhanya PradeepiD· 1 shared Erik Russell NelsoniD· 1 shared Erin WeisseriD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Adam T. NelczykORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Loss of Mast cells and histaminergic signaling link diet to platelet-mediated NETosis and mammary cancer recurrence

Claire P. Schane, Adam T. Nelczyk, C Chen, Jiyoung Seo, Yu Wang, Natalia Krawczyńska, Shruti V. Bendre, Erin Weisser, Dhanya Pradeep, Hashni Epa Vidana Gamage, Lara I. Kockaya, Y. Fei, Anasuya Das Gupta, Hannah Kim, Madeline A. Henn, , Erik Russell Nelson

This study links diet to mammary cancer recurrence via mast cell loss and histaminergic signaling, showing that H2R antagonists promote platelet-mediated NETosis and reemergence from dormancy.

bioRxiv · Apr 15, 2026 · PreprintCancer Biology

tauX: A Gene Expression Ratio Strategy to Improve Machine Learning Applications in Precision Medicine

Jacob Pfeil, Liqian Ma, Hin Ching Lo, Tolga Turan, Robert T. McLaughlin, Shi Xu, Severiano Villarruel, Stephen Wilson, Xi Zhao, Josue A. Samayoa, Kyle D. Halliwill

The paper introduces tauX, a gene expression ratio strategy that improves machine learning performance in precision medicine by refining gene expression features.

bioRxiv · Jul 1, 2024 · PreprintBioinformatics