Author

Li Song

Institute for Systems BiologyORCID 0000-0002-6928-0982Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Li Song2 papers · Peter MacCallum Cancer Centre

Biology Disciplines

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Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:metabolomics· 1 Assay:organoid / primary culture· 1

Frequent Co-Authors

Ben HeavneriD· 1 shared Binhua LingiD· 1 shared Evangelos Simeonidis· 1 shared Jennifer J. SmithiD· 1 shared John D. AitchisoniD· 1 shared Nathan D. PriceiD· 1 shared Nitin S. BaligaiD· 1 shared Priyanka Airen SarkariD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperSystems Biology

Ben HeavnerORCID

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2 papers

Recent·Most cited

ImmunologyFrontiers in PharmacologyPeer-reviewedJun 30, 2026

TLR3 Activation of Microglia-Containing Cerebral Organoid Induces Antiviral Factors against HIV-1 Infection

Qianhao Xiao, Xu Wang, Priyanka Airen Sarkar…·Wen‐Zhe Ho

This study shows that TLR3 activation in human iPSC-derived microglia-containing cerebral organoids induces antiviral factors against HIV-1.

3 citationstop 4%

humanorganoid / primary culture

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Systems BiologyPLoS Computational BiologyPeer-reviewedMay 17, 2017

Combining inferred regulatory and reconstructed metabolic networks enhances phenotype prediction in yeast

Zhuo Wang, Samuel A. Danziger, Ben Heavner…·Nathan D. Price

The paper introduces IDREAM, a method that combines gene regulatory and metabolic networks to improve phenotype prediction in yeast, showing better accuracy than existing methods.

46 citations

yeastmetabolomics

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