Author

Runze Li

Harbin Institute of TechnologyORCID 0000-0002-0154-2202Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Approach:biophysical modeling· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Dan XiaoiD· 1 shared Denis BaranenkoiD· 1 shared Donna L. CoffmaniD· 1 shared Jiao Wan· 1 shared Jicheng LiuiD· 1 shared Jinhai Feng· 1 shared John J. DziakiD· 1 shared Lars Sommer JermiiniD· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperPharmacology & Toxicology

Dan XiaoORCID

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3 papers

Recent·Most cited

GenomicsbioRxivPreprintJun 24, 2024

MicroWorldOmics:A "One step for All" desktop application for comprehensive analysis in microbiome and virome and exploring "Dark Matter" from MicroWorld

Runze Li, Wei Dong, Mingjie Wang…·Zhuang Yang

MicroWorldOmics provides a programming-free desktop application for comprehensive microbiome and virome analysis, including Dark Matter exploration, with 90 sub-applications and support for multiple operating systems.

DOI 10.1101/2024.06.24.600528

metagenomicsproteomics

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Pharmacology & ToxicologybioRxivPreprintJan 14, 2024

A functional medicine and food homology composition discovery based on disease-related target and data mining against cardiac remodeling

Dan Xiao, Runze Li, Xiaoqing Qin…·Yan Lin

This study identifies β-ecdysterone as a functional compound that counteracts cardiac remodeling by enhancing NRF2, revealing cross-talk between cardiac remodeling and neuromodulation.

DOI 10.1101/2024.01.14.575612

humanbulk RNA-seq

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BioinformaticsBriefings in BioinformaticsPeer-reviewedJan 22, 2019

Sensitivity and Specificity of Information Criteria

John J. Dziak, Donna L. Coffman, Stephanie T. Lanza…·Lars Sommer Jermiin

The paper explains how information criteria like AIC and BIC can be interpreted as likelihood ratio tests with different alpha levels, helping to understand their trade-offs between sensitivity and specificity.

718 citationstop 1%

statistical modelbenchmarking

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